Zero to Mastery Machine Learning Course Launch! | Ask me anything! (live)

Key Takeaways

Oh fingers crossed oh my gosh this is an error oh no we're life boom hello everyone nice to meet you all my name is Daniel we're coming at you live from my bedroom which also doubles or we used to be a parent's garage so I still still live at home I love living at home but this is like my workspace and in Sunday morning it's a beautiful morning I got coffee and the reason of this dream is mostly just to answer any questions that you have my good friend Andre and I just launched a machine learning course on udemy it's got a lot of a lot of stuff there and if you've done any of Andres courses before you know that they're they're very very high quality and so we've partnered up to create one about machine learning and so what I need I need a favor for everyone if you can in the chat because I'm still a live streaming rookie if you can leave as many questions as you as you want but also tell me if the audio is okay and the video is okay because as I said I'm a live streaming rookie so so I'm gonna ask some questions that's what I need your help with and I'm gonna close my bedroom door but how are we everyone where are you from in the world is it morning is it evening it's 9:00 a.m. on a Sunday here it's a big day today you know why because there's a UFC fighter just gonna lie on my desk a little bit there's a UFC fight between Conor McGregor and cowboy and I've just been getting into Brazilian jiu-jitsu and so I'm excited to watch the fight but we're getting distracted if we're here today to talk about the complete machine learning and data science zero to mastery course on udemy that Andre and I have just launched and so what we're getting keeps trying to autofocus or stop moving as much maybe I'll just look directly into the camera there we go you know it's always weird when you when you web chat with someone if you look into their eyes it looks like you're looking somewhere else but if you look directly into the camera it looks like you're you're looking directly at them whoa here we go turn off auto focus I don't actually know how to do that chaos oh here we go can you make the video 720p 1080p I'm not entirely sure how to do that while we're while we're going I don't want to change any settings at the moment please check the video resolution which is it says it's telling me the current resolution is 816 by 538 maybe that's that's a problem so maybe if I how do I change my webcam thank you for all your thank you for joining in by the way this is exciting look my webcam we're just gonna have to run with this if the video and audio is okay well um we'll go like we'll go the main the main problem here or the main are the main topic we're doing is Q&A so if you have any questions on anything really but it's it's focused on there let me show you what it's focused on come here let me change this fingers across that this works so this is this is what Andre and I have just launched the complete machine learning and data science 0 - mastering created by Andre Andre Nagori and now this is kind of crazy right Andre now I've planted up but I'm still terrible at pronouncing his last name and me Daniel Burr so if we come through the course is a whole bunch of stuff with a lot more to to come but this is what we're focused on on answering today on doing today in the live stream is answering any questions that you might have okay here we go let's have a look QA rate at us is the new course only for beginners ray I would say yeah it's aimed if you already have some experience in machine learning I would say that keep keep following your interest with with whatever experience you have this is more targeted towards one who there's two parts of the course right so if you don't know any programming or - there's a there's a section of the course where you can learn Python from scratch Andre teaches that and if you want to learn machine learning but you already know Python I teach that part so the prerequisite for my part okay the machine learning part introducing you to machine learning is knowing a little bit of Python if you don't know Python you can take the Python track but if you're already pretty advanced in machine learning maybe at the moment this course is not for you until we add more as we go but there is a github repo with all the code so you might if you're if you know some machine learning you might want to check that out and see have a look at some of the projects and see if if they can help you out there here we go here I'm gonna try to get as many questions as we can so we'll probably hang around here for for about an hour or so so feel free to ask whatever you want I'll do my best to answer it can you turn the auto focus to manual I need to figure that out let me go to Settings video alright it looks like video output is currently active please turn off any outputs to change video settings alright so I should have fixed that up before I can't change the auto focus while I'm recording here we go jabal says how advanced are you in math that's a really hard question to answer right it's like I don't claim I'm an expert in anything I'm just really interested in in a lot of things and so with math I have no formal like university degree in math but I've done a fair few math courses online basically through Khan Academy the YouTube channel three blue one Brown my way of learning math and similar to learning anything is learn what I need to learn when I need it so if I run into a problem and it's like my math knowledge is holding me back from learning more I'll go and learn what I need to learn so it's kind of if you try to learn everything in one here that's like trying to boil the ocean I prefer trying to to learn what I need to learn when I need to learn it yo what's up our Chavez how are you brother good to see you thanks for joining in match requirements for the course none all you need is well you need a willingness to learn that's the that's what you need for the machine learning course that's that's it's the course see I've done a lot of machine learning courses right I taught myself how to learn machine learning so if we let's let me show you my screen a couple of years ago I created my own AI master's degree where is it so if we go here it's on hacker noon there we go there's an article on hacker noon and this is how I learned machine learning and artificial intelligence so if you read through this article you can just search it Daniel Berg AI master's degree it's got a whole bunch of different resources that I use to learn so a whole bunch of courses here and so what I've done with the with the machine learning and data science course is take what I've learned teaching myself machine learning and data science and deep learning and artificial intelligence and try to to build my own version of that and that's what that's what the 0de mastering machine learning course is it's the machine learning course I would have liked to have had when I first started learning machine learning so it's got to focus on jumping into Python code or Python machine learning code as soon as possible so that's that's my focus is jumping into practical things as soon as possible all right so I'm gonna as I said I'm gonna try to get as many call our questions and answers as possible and plus it's Sunday right okay we've got a dates around have some fun here you don't know how much I love these live streams right because I'm a bit of a nerd I spend a lot of time in this room not talking to many people so when I come on camera I get very excited all right here we go and our Chava ask what's my second project on all you must have read my mind now so if I if you go to my website Daniel Burke mr. Dubourg calm there's a whole bunch of stuff about me there and our Chavez is talking about my now page so what I'm working on now new a new machine loading course that's one of the things and then another project I'm not ready to share you so we'll keep that we'll keep that under wraps for the time being okay another question and eat it says are there projects to build yes there are several projects there's two up there already there's a classification one and a regression project so a classification project if you're not sure in machine learning classification is classifying whether one item is something or another so if you imagine your emails is your email that you're receiving from someone else is it spam or not spam so your mail provider probably uses a lot of machine learning to figure that out and as you would have guessed those systems are pretty good now so that's a classification problem a regression problem is predicting a number so say you wanted to predict the the sale price of a car or or an apartment or a stock that would be a regression problem and and there's more to come there's more projects to come Mike asks hey Mike hey mate I know this might be a long is a piece of string question but ballpark plus six months roughly how long do you think until a person is horrible in in the field with this course you're right it is how long is a piece of string but I would say yes at this stage with the amount of content that is there give yourself a fairly long time to work through it even though it's only 30 hours or so videos so far well 30 hours are still kind of a lot of videos if you did an hour a day that's still a whole month but you won't retain the knowledge when you first watch it right you're gonna have to practice it yourself and that's a big thing that I missed out on I was I mistake doing more courses for trying to rather than trying things on my own so my my I says okay take about six months yeah you're correct to go through the entire course plus a bit more added in the next couple weeks six months is a great time period you could do a section a month but while you're doing that start to think about what your interests are and do they align with anything that you're learning in the course and then start to go through follow those interests and try to apply what you've learned through the course with your own interests because those are the things that you'll learn the best those are where I've projects where I've tried to work on them myself other ones where I've learned best and so I would say six months getting a foundation and then six months working on your own project and then you'd be horrible at projects you don't have to work in a single project but you could work on one so you could you could go from not knowing anything to being horrible in about twelve months this is okay here we go so I teach I ask is this course completely from zero how many hours per week should we spend yeah if you know nothing about machine learning you can you can start with this course if you know nothing about Python programming you can start with this course there's two parts one for those who aren't sure a Python programming you can go through that path if you do know some Python you can start on the machine learning section straightaway how many hours per week should you spend that's totally up to you at the moment there's 30 hours of video there so if you did one hour per day across five days a week and you use two days to rest and let your brain recover maybe the whole course takes you about six weeks Cina us I'm in Copenhagen Oh beautiful nice to see you welcome from Copenhagen I think I might go there this year Denmark I'm really excited for that where am I you can ask me any questions you want so OHP F asked me is the questions related to the course or about me you can ask whatever you want this is anything goes this is like a am a get to know me to know the course alright let's have some fun is there a chapter on NLP not yet but that is that is uh that is in the works so keep our stay tuned Manoj hi Daniel is your course focus on data science or machine learning because I've followed your YouTube channel and watch videos it was mainly related to machine learning so the way I think of data science and machine learning is machine learning is part of data science so we use in the course it's got a bit of both right so you're looking to figure things out using data and experiments hence data science and to figure those things out you're using machine learning so if that makes sense I even though I've been in the the field for a couple of years now I still have a problem deciphering which is which so I I basically if you're doing data science you're probably going to be doing machine learning these days Adrian Gonzales says hey Adrian I'm 40 years old no college degree and no background in programming on any tech field very interested in Python ml now my question is a too late or not advice I don't believe it's ever too late if you want to if you're interested in something you should you should get after it right like that's that's that's the reason that's one of the reasons I built this course right is because and I'm saying right too much I say right that I catch myself saying these things if if you want to learn something if you're interested in something get after it whether it be machine learning whether it be psychology whether it be business whether it be marketing whatever it is you'll if you're interested in something that will drive your ability to learn it that's what got me into machine learning in the first place and that's why I built this course with Andres so that if people like yourself had a question can I get into Python a machine learning my answer is yes of course you can I'm not special I did I mean I spent most of my time in my bedroom I'm still in my bedroom have a look at this all right there's my bedroom there's my bed here's my desk learning machine learning right that's and this is what I'm going to stay for a while still learning and anything that I know I'm gonna be putting as much as I can online building out the course as big as we can and then building extensions on it in the future so long story short if you want to get into part in the mail you can and the zero two mastering machine learning course is a great place to start and of course I'm biased because I made it but you should check it out if you do buy it and you don't like it you can return it no questions asked within 30 days what can I expect to learn about tensorflow or similar frameworks there's a tensorflow section coming up that's section 4 you can expect to to know how to start using it that's that's you get some foundation knowledge and then will start to use it in some projects here we go and will these projects be good to put on github yeah of course you can if you if you follow along with the projects in the videos you can put them on your github I would actually encourage you to do so and in section 5 sharing your work will go through will go through that will go through sharing your work online through various resources how I do it etc etc bar Vika asks what's the difference between one hot encoding which is like pandas version of one-pot encoding so it's really up to you I just wanted to in the video show you each way of of doing it but they they both essentially do the same thing maybe you can set up an experiment and compare the two Franko says starting your new course today ah epic I hope you enjoy it Franco let me know if you have any questions you can always reach out in the discord or contact me directly if you search my name you should be able to find it find me whoa we are getting a lot of questions thank you everyone um Patrick says I love you champ I love you too Patrick thank you very much chaos says what would your full first project then what happened do you want to wish to complete but have not so one of my favorites was and one of my favor projects that didn't work out and I still need to revisit this as I was tracking my my blood glucose where's my I don't have the the meter here so I was tracking my blood glucose so my interest my long-term interest is is technology and health I'm really into those things so I want to combine them and somehow I don't know yet one of the the reasons I built this course is to have a financial income to drive my own future projects of course which I will be building online and so the experiment was tracking my blood glucose multiple times per day and I was trying to build a machine learning algorithm that could tell based on what I was eating what my blood glucose response would be and as it turned out there were far too many variables with with what I was trying to track and it didn't really work so well so I'm kind of rethinking in my mind how like and now I can fix something like that and the reason why would you want that is because blood glucose is is uh is potentially we don't actually know yet because health is still being written biology is such an unknown field like glucose is potentially an indicator of health so that's that was my project alright so where are we going Franco says I'm looking for a way to migrate to another country build my tech career do you think I could do it short term with MLA I or should I get into full get experience with more common stuff eg full stack Franco I'm gonna be straight up I'm not the best person to ask for that because I've never migrated to another country I've only ever lived in Australia I visited other countries but I've only ever lived and worked in Australia so any question guys that I'm not familiar with I'll tell you straight away that I'm not the best person but those two parts are very in demand at the moment Franco so if you want to learn those skills they're very in demand Patrick is it possible to come a data science freelancer yes it is I've never done it personally I've only worked for a company but I do get some requests here and there in my email because what I publish online this is why it's important to share your work of people asking me for machine learning and data science freelance gigs but I've decided to work on other projects rather than doing freelance work where are we going up here thank you all thank you all for joining in by the way this is really fun dee says I found one intern internship currently they need to further develop their existing model around NLP passing question and answer classification and sentiment analysis analytics engine are you going to add that in the course so at the moment we don't have plans for a question and answering classification however I would suggest there is a cable competition let's have a look at this this is where you can go to look at projects right so go to competitions or example projects what a Keagle competition is is someone post a data set and there's a challenge for you to use machine learning to find insights on it or data science so I would have a look at this this competition if you're looking into question and answering look at this cable competition tensorflow - question answering this will have some examples of question and answering and you could probably go to notebooks and have a look at how people there we go have a look at this one but for humans to search up tensorflow 2.0 question answering and look at something like this all right back to the back to the webcam where we are okay question how much japanese do you know and how often do study the language Jenny I used to I studied Japanese for a year but I've forgotten a lot of it so we're touching on the Hangul jaws are denied this Rosie is a coarse enough to then go on to do your own projects with the knowledge in the course line Rosie yes that is exactly what I'm trying to I'm doing my best to design it exactly that way so when you get to the project stage I'm trying to to build them exactly how I would start approaching them so that is that is exactly what the course is designed to do we're going to have a look at at different projects if you've looked in section three there's a couple there's a kegel competition that we've we've uh we've gone through exactly how I would approach it so so yes that is what the course is designed to do it's designed to get you to start thinking about problems in terms of how they machine learning could be used with that problem okay magician magic and code ah great name sorry for this being rather over the top but I'm getting desperate do you or anyone in chat no good flasks cookie cutter style project I can learn to avoid circular imports sorry brother I'm not um I'm not familiar with with uh with flasks cookie style with flask cookie cutter style projects so I can't help you there JD good morning Daniel good morning JD nice to meet you my friend how do you keep your back up and recover while you're doing your important office works do you use cloud backup or hard drive I use purely cloud basically like Dropbox and Google Drive and and I have an ask foam storage but I also have a hard drive for doing Time Machine backups on my Mac and jabal says do you need formal university get hired in ml roles I don't have a degree in machine learning I created my own on this website here my self created artificial intelligence master's degree using a whole bunch of different online courses and this is what I've based this course off so all the best things I've learned from all these different courses here I've tried my best to implement them into the complete machine learning and data science zero to mastering ah and I forgot if you want to have a look at this there's a link in the description if you do sign up it would be phenomenal if you give it a five star rating only if you think it deserves it but five stars helps it on udemy get known to other people so they can learn so that in turn we can get more feedback on the course of course more signups equals more financial financial money to Mike to me and mine Andre but that just means that we can reinvest into making better things so if you do sign up five stars would be phenomenal only if you think it deserves it okay so long story short no you don't need a formal university degree to get hired I didn't and Mohammed is a section when you talk about feature engineering like PCA and stuff not just yet I in practice I I barely used use PCA and other other things like that so there is we haven't we haven't covered that just because from from what I've used in practice it it just we we didn't use it very often so this this course is the projects are strictly designing with with what I did day to day as a machine learning engineer so that's what I've focused on what did we do day to day as a machine learning engineer and Joanie asks what can I build with machine learning data science to help machine learning maybe maybe you have to to start researching what what problems real estate agents have and figuring out using your knowledge of machine learning could machine learning be used in the problems that different real estate agents have so that's that's what I'm that's what the course is designed to do is to get used to start thinking about how machine learning can be used on existing problems so a good problem in in real estate a hard problem is figuring out how much a house is going to sell for so if you want to Google something like Boston housing real estate data set and try to use machine learning on that data set that's probably a good start Eadie Wasserman how do you teach the necessary maths math and statistics skills in the course and I don't this is pure Python code so we are coding machine learning with pure Python code where we're not covering math and statistics for now maybe that will be an extension in a future course machine learning from scratch with with math and statistics or whatnot but this is simply using machine learning Python code to apply to problems that is what I'm focused on michey says thanks re TF - I haven't ventured beyond SK loan models when building was curious to know if we'd have a project to apply yes definitely so TF - there will be a project at at least one maybe two here we go Frederic says I registered just now - your new course very excited to start you learning beautiful Thank You Fredrik let me know if there's anything I can help you with thank you so much my knowledge when we have an idea to take up as a project how can we sure the idea is not created earlier by someone knowledge there's no good answer to that if you have an idea to create something you should you should get after it I think if it's a great idea you'll probably find that a lot of people also have a similar idea that's what I've been finding with with the ones that I've been working on especially applying machine learning to biology so really the best way to work on your own projects is to combine something that you know with something that you're interested in and go for it it's all about trial and error a shabazz us I wasn't sure if I had any grammar error before deleting the message whoa I keep scrolling me to the bottom I'm trying to get trying to get through all of these questions if you're if you if it's going well if you need me to change anything let me let me know and I'll fix it so put a thumbs up in the chat if we're going or good but if you have some advice on how to fix this for the next half an hour or so let me know em rule e asks really wilkerson I'm pronouncing that name wrong I'm so sorry question I'm already taking the Python 0 to M would it benefit me to take this course at the same time so if you're if you're learning Python the machine learning section of of the zero - mastering machine learning course requires you to know - so if you're doing the Python zero to mastery course keep doing that there is a Python section in the machine learning course but it it has a lot of the similar content to the the Python zero to mastery course so in the machine learning course there's two parts one with Python and one without so if you don't know Python you can do the machine learning course and learn Python along the way but if you do know Python you can get straight into the machine learning code Daniel great name with an A not an ER I hope that's pronounced Daniel so Daniel what is good first role should aim for apply after completing the course of projects assuming having no past tech experience and no formal tech qualifications well you should apply for any junior position for machine learning or data science that's that's what you should you should be getting after and in section five we'll be talking about how to share your work so make sure that's that's fully almost most important section of the course is being able to share your work so that it'll be grateful when you start to apply are you planning to have another advanced ml course if people want an advanced one we can start to work towards that but this one is focused about getting people started with machine learning because it's the demands for machine learning you're only gonna go up and up and up and up and so that's what this one is focused on it's focused on if you know nothing about machine learning and you want to get started this is for you so yeah at the moment I think I need to be diagnosed by doctor as a diabetic to get one but I will keep looking into that and here we go the quality is so low I'm sorry about that my internet I've just changed the Wi-Fi so maybe that was where we are Darin Kay says do I have a full time job - yes my full time job is I'm self-employed I'm self employed to be at the moment a machine learning educator as well as someone who who learns and makes things online so that that is my job at the moment okay where we are working at an office or from home and I like to do both so sometimes I most the time I spend in my bedroom other times I go to the cafe and work at a cafe basically because I'm self-employed anywhere with an internet connection I can work so I love going to the library so that's basically it I work at cafes libraries and my bedroom right here Darren Kay do I do I cover using AWS as your 4ml not AWS or as your we do cover using Google colab but we've sort of straight away from from cloud providers for now because of how often they change so at the moment we've we've strayed away from using cloud providers but they mate that may be a future extension if enough people want a cloud provider of course but we'll look into that in the future but this course no it doesn't cover using AWS or Azure but Vica says this course deserves 5-star I really enjoy the course thank you so much I really appreciate it leave a five star review only if you think it deserves it because five stars on you enemy I'm new to you to me but Andre tells me it helps a lot and I agree with him so where we are oh my goodness code frost says it's not ready to start the course but definitely will do is this course relatively future-proof are you going to update it aside from the scheduled additions yes as I learn more as that's that's the beauty of this of this course right is like as I learn more as as the field changes because I love machine learning right I'm gonna stay in here is my job it is now my job to stay up-to-date with the field to work on the best technologies to build things and to share them with the world and that this course is how I'm going to do that so as if I at the moment it's definitely a future-proof for at least who knows the timeline but for the near for the foreseeable future learning Python for machine learning is a good place to start now will that change in a couple years possibly maybe swift takes over maybe go takes over who knows maybe it all gets automated behind the scenes who knows but that's that's what I'm focused on doing I'll learn these things and then redistribute them as best I can through the course through my other youtube videos etc etc and where we are so I hope that I hope that answers your question there will be scheduled updates yes as required I rash is this course any project related to computer vision yes there will be an image classification project in section 4 magic and code love that name magic and code because code is like magic right will we learn how to build our own data sets I need to train a model learn the handwriting of one to two persons and not in any specific language only base and characters for converting at the moment no so this this course is focused on existing data sets and then using machine learning on those data sets add Wasserman says not the requirements no prior experience is needed not even math and statistics we get we start from the very basics how can we get started without make math and statistics so this course is pure Python code so all the concepts math and statistics are either taken care of by the Python code in frameworks or we discussed the the critical concepts which are I needed to know if you do want an overview of all the a great great place to learn elements of AI so if you want to learn some of the critical concepts and statistics of of machine learning go to this website elements of AI start the course completely free it doesn't have any code in it I think section two might be might have some some code in our there we go there we go well look at that so that's coming early 2020 so that's exciting so make sure you bookmark this right this could be this is a great a great thing to use alongside the the complete machine learning and data science zero to mastery I this is if you go to the like section I think it's the end of section two or three this is a optional extra resources but I'm gonna be straight up go through this go through this is good value and I'm sweating it is hot in here Australia have you ever been to Australia Australia is hot here we go where we are Vlad says how do I tell a company if I have no experience in ml only theory but want to get an internship any strategic advice on application Vlad my personal opinion on any time you try to get experience somewhere is people care about more about what you've done then what you theoretically can do that's my opinion my bias but I much prefer if someone can show me something that they've done like this is what I've done this is what I've worked on rather than go yeah I can like and think about these things so that's that's that's my advice for anyone applying for anything is show them what you've done Matthew says hi Daniel I love your content thank you so much I really appreciate it I want to ask you does the course have a lot of math I mean it's important but I know it scares a lot of people Congrats from Brazil Thank You matheus I really appreciate that the course covers the minimum math requirements to use Python code for machine learning that being said it is 99.9 percent Python code this is so when I was working as a machine learning engineer we barely used all us we use methods behind the scenes of machine learning code but what was more important in a business setting is figuring out designing a machine learning problem figuring out what machine learning model need to be used for it and then implementing that and then evaluating its results and then communicating those results with a business with your team or something like that now you can do all of those steps with pure Python code however you might run into a roadblock of where you may need to learn some more something about the topic - to really know how robust your results are and that's where I advise you to learn the math required for that Pacific's specific problem because if you try you said it scares some people if you try to learn everything at the same time rather than just as you need it it's like trying to boil the ocean so you're gonna the best way to learn is through trial and error to rebuilding projects through getting something wrong through hitting a roadblock through doing your own research and trying to figure out okay how can we do better on this project so that is what the course is focused on machine learning code applied to projects where we are in how can earn your website where do I find machine learning your course so if you go to my website mr deburr comm you should be able to find a lot of stuff there on machine learning Manoj says hi Daniel how much of Python should be learnt for DSN ml that's a great question I would say three to four months of Python is plenty there is enough Python covered in the course to to do machine learning with Python so there is a Python section if you don't know Python you can go to that Python section and you'll know enough by the time you finished that you'll know enough - to do the rest of the machine learning path Tahar says great work you're inspiring my dude thank you so much all of you inspire me that is really why I do this I love love love love seeing what other people work on I get I get inspired from seeing what what you guys build and then eating her it's like a circle right I put stuff out there getting after that is my whole mission in life is to to get after it three little words get after it okay where we are burr at what do you suggest for making web applications with machine learning Bratz find a problem that machine learning can be useful and build web application with with machine learning I can see heart disease project on YouTube can you add some unique project which is not done yet stay tuned if you'd like if you'd like if you'd like anything specific let me know Manoj Kumar says hi Daniel how much a Python should be learned up we've already answered that one are the fires getting under control there well Jenny thank you for the great question I'm not actually sure at this stage I don't watch the news very much but I got lucky our family got lucky we live in Brisbane and all the fires are south of us so New South Wales Victoria South Australia that's basically all on fire so we are really lucky to live in Queensland and Brisbane away from the fires but we have seen a lot of smoke however I'm not entirely sure what the what the status is at the moment I tried to avoid the news as much as possible quick ooh ask where do I start if I want to learn machine learning well we've created a great resource for that if you don't know anything about machine learning this is a great resource complete machine learning and data science zero to mastery if you go to the link in the description you'll you'll get a rate that is about this price there's two days left of this price it covers a whole bunch if you do find the course valuable if you do enjoy it please leave a five star rating that helps so much without getting it out to you to me getting more people involved in course learning how to make it better and yeah it helps so much only if you think it deserves a five star otherwise if you don't want to pay for that you can here is another great place to start elements of AI comm check that out it's we listed in the course as an optional extra but I'm gonna tell you now it it is well and truly worth going through I want to create something like this I need to learn more web development where we are live-streaming thank you all so much for the for the questions I really appreciate this um Edie says thanks very much for answering two questions I'm sold on the course I think this sounds solid thank you very much Edie I hope you enjoy it if you do please again leave a 5-star rating that'll be phenomenal so quit says hey Daniel bumped into your channel a few weeks ago ah welcome and I wanted to ask is a data set what is a data set where we find means also is any prior knowledge of je s et cetera necessary no the course is completely in Python if you do want to find data sets though a great place to go is Kegel and then kaggle comm slash data sets have a look through here basically you should get really this is what I'm planning on doing for that for my whole year is going hard on cable and making videos about going through different competitions different data sets different notebooks so that's that's basically what I'm planning to do for my year so this is an exact resource that I'm gonna be I'm going to be using so check this out haggle comm slash datasets if you're looking for datasets all right whoa yeah come back just bought the course thank you the ROI Akash enjoy it Thanh Tam Lam says hi Daniel do you think all the knowledge from the course can be applied in real jobs based on your experience the course I built it as much as possible doing the stuff I would do day to day in my machine learning role so that is what I've built it designed to do so I worked for an artificial intelligence company in Brisbane called Mac Skelton we would partner with a whole bunch of other different businesses health commerce ecommerce finance and help them use machine learning in their business so that is what I've designed with my knowledge from working on those projects that is what I've tried to I've poured my soul spent hours in the closet next door sweating profusely because of terrible ventilation in the closet next door here recording these videos trying as best I can to put the knowledge that I learned from from what Abdul Toby says hey Daniel hey Toby how are you good to see you Abdul says hi Daniel great inspiration why did you leave your job as a machine-learning engineer if it is that great Abdul truly it's because I want to work for myself I I want to build my own company and I want to work on my own business rather than work for for another company so that that's the real reason I want to be able to decide what I work on when I get up and work on that for the rest of the day so that's that's the real reason why I left the job it was phenomenal job but just the way my brain is wired I had no other choice but to work for myself although do small companies use ml already is that a demand for them that is a great question some small companies use machine learning but because it still is still emerging right we think because we're in the field machine learning to us is like oh that's we already know about that well maybe you don't if you're a complete beginner but that's that's fine it's there's still lots of time to learn about it it's it's not going away anytime soon data is only gonna get more and more prevalent in daily life and finding insights out of that data is only going to be become more and more in demand so I believe in the next few years machine learning is just going to be part of the software stack so if you imagine what the software stack is now we've got applications on our on our phone basically every single application is going to have some machine learning aspect same with every single website same with every single small business that's that's our job to figure out how to do that that's we're learning these skills now by Vika what is the best ml book that have you used to lime ah easy the machine learning book so if we go here here we go I made a video about it so if we come here 100 page machine learning book oh Jesus God there we go so the 100 page machine learning book it was so good I made a video of it so check that check that review out check the book out decide if it's for you you can read it for free online we go that ml ml book you should also check out this check out this website that I'm elbow calm that's my favorite machine learning book and go back to the webcam all right where we are Santosh how do you impress your team as a des intern be very nice to them ask them lots of questions ask their advice and don't be afraid to get things wrong that's how you impress a data science and machine learning team a lot of people are too focused on getting things right you know like being scared of trying new things but a whole bunch of machine learning and data science is experimentation that's step six of the framework that we introduced in the course to many people these days focus and myself included I'm guilty of this it's just trying to get everything right the first time but really the best knowledge is found through trial and error so if you're an intern show them that you're trying things like hey I tried this it didn't work and so then I tried this and it still didn't work so now I'm going to try this so that's that's what you want to think about in not just in machine learning and data science but in all of life don't be don't be too scared to get things wrong I'm saying this because I'm trying to remind myself Jack Arnold says and no questions just wanted to say congrats best of luck moving forward bro going to I get the call soon thank you jack I really appreciate it I really appreciate your support I remember you from the very start when I was just still in this room posting YouTube videos of me learning machine learning online so I really appreciate a jack thank you and where we are Carlos Carlos says hi Daniel I recently passed my CCNA R and s one month ago I'm not actually sure what that is my friend and certification on Linux which covers all the subjects on LP IC 101 one or two that's on my background I'm not I'm not exactly sure what they what those are Carlos but do I think you have a chance in ml of course I started learning machine learning after I'd studied nutrition at university so nothing to do with with technology yet and I'm learned machine learning I'm still learning it like that'sthat's everyday is day one for me of course everyone in this chat has a chance in machine learning like it's it's that's what that's what my mission is but I needs to it's to not only bring to encourage people to learn machine learning but to really just encourage anyone to get after whatever they want to get after for me personally for the last couple of years it's been machine learning for you it might be machine learning as well it might be something else but whatever you want to get after get after it Manoj says hi I'm interested in watching movies wish to create some projects relating on movies or movie industry I can get to know the list of ml solutions required in this industry any site Manoj I would do your research again on Kegel or just up starts figuring out machine learning and movies that's that that's how I that's how I am begin any project it's just start doing my own research start figuring out it's at trial and error that's what I can't I'll say it till I go hoarse trial-and-error Shabbos if you do make a big Daniel I'm down to work for you my man well fingers crossed fingers cause you know you try my best you know I'm gonna be following my interest hard as I can that's that's my goal and if it does happen well stay in touch brother stay in touch shinobi says I finished the data scientists track of data camp but struggle with my own projects any advice I actually wrote an article about this let me show you so learning projects hopefully this shows up and boom I'll write an article on this how to start your own machine learning projects the point here is what courses don't and can't teach you including mine now what is this we come here why your own projects this is the main point out of the whole article something that might not work that's how the best projects start out so this is what you have to be willing to do to work on your own projects I can't teach you this this is only something that you can try on your own so if you want to work on your own project start with something that might not work well tell yourself this might not work and be completely okay with that when I started my own AI master's degree I had no idea that it would work I didn't even know Python code but it turned out that it did work because I took a chance on it when I started YouTube channel I had no idea of that if anyone would would would watch or would join but it was something I wanted to see in the world videos of my own and so I kept making it so that's how the best projects start with something that might not work you could have a bit of courage to try that and here we're at Enrique says hello best book for data science with Python code and also machine learning or online course where is it ah okay two of my favorite books or machine-learning one 100 page machine learning book I've got a I've got a whatchamacallit a review on this on my channel and apply them for data analysis so two of my favorite books for machine learning and data science check those two out if you want they're my favorite books for machine learning and data science where we are the Royal cash if I go for deep learning and convolutional neural networks do I have to complete the statistical part of machine learning can ends random forests and such things interview aspect the ROI cache I'm I'm not too sure about that question all interviews will be different so my my um my interview process was basically I made a lot of things online and someone reached out to me asking if I'd like to come in for a few days a week and try out my skills and I did and then they offered me a job that's how I got hired so make things online that's my point to you Josh field hey Dan Ben loking a channel for a while taught myself the basics is ml this year and have been applying the jobs Novell currently doing a bioinformatics a course in bioinformatics and Coursera and just for your course hey Josh nice to meet you thank you for following my work I really appreciate it's so amazing that you're into ml and I hope you enjoy the course let me um I'm active on Twitter send me a DM on Twitter my Twitter is our at mr. D Burke so three ways to contact me so we won't wait for that to load where we are go back to the live streaming okay Jeremy gross says is the course is the videos 1080p plus yes the videos are as high quality as possible any auto focusing issues no so the video is a much better quality than what this law shrim is this live stream is kind of jank together so yeah my face is actually not in the course that's why I'm here do I'm here to say hello to everyone and welcome to the 0-2 answering machine learning course if you've signed up I'm 50% of the instructors Andrey is is the other half and this is also my YouTube channel which I create videos about machine learning life health and everything else so if you want to subscribe for more videos make sure you do because I like making videos and if you want to see anything in particular send me a message wherever you want Jay deep says I like your blogs Daniel they are short simple and straight to the point you inspired me to start writing blogs ah ah Thank You Jay Jay Deeb I really appreciate it writing online has brought me more opportunities than you could ever imagine so if you want to take up one skill aside from machine learning this year start writing online what do you write whatever you want if you find an industry other people will probably find it indistinct interesting too and if you want to check out my blog post go to mr deburr com I have a lot here I post a blog post every day may stop soon because I want to work on some other things but look how many look at this how beautiful is that and I do post a lot about learning machine learning so you can go to here and there's a whole bunch of information about how I learned machine learning so that's mister debo comm tag machine learning all right where we are Josh says thanks mate appreciate your channel a lot Thank You Josh I really appreciate that to Rosie this livestream is a strain internet quality yeah you're right Australia our government needs to get into business of making better internet so I'm doing the best I can and Rico where is the links for the course there is a link to the course in the description it's it says debug link zero to mastery launch appreciate that too oh pause that live stream that was my face now we go here Daniel ko need an honest answer for this if mo didn't particularly interest me from Andres Python course how likely would it be for me to look like if I took your email course well if you're not interested in something you don't force yourself to learn it if you get bored of something drop it that's how I learn if I'm bored dropped and go to something more interesting the things you remember the best will be the things that you're interested in of course there may be a little time where you you have to study something that that doesn't set your heart on fire but ultimately at the end of the day if you want to learn something well and really well you have to be interested in it and it's kind of counterintuitive once you get better at something you become more interested in it right so if you become better at m/l you'll become more interested in the more I learn about machine learning first of all the more I learn about machine learning the more I realize I don't know second of all the more I learn about machine learning the more interested I get in machine learning okay here we go but Vika says will you be uploading more in MML projects on your YouTube channel yes I will so stay tuned for that okay well we started to run dry on questions what we might do is if you have any more leave them in the chat over the next minute or so and then I'll get to those last few questions bye we've been going for about an hour or so so let me know if you've if this has been good would you like to see more of these in the future if you have any other questions contact me directly probably the best place to do that is either in the discord channel associated with the course put my name tag my name mr deburr or go to my website mr deburr comm or twitter you can access me there all my links are in the description so make sure you check that out if you have any more questions for questions let me know I've had an absolute blast here this Sunday morning we're all excited learning about the 0-2 mastering machine learning course of course if you want to sign up for it check it out there is a link in the description it's at a special price is an Australian dollars here I believe it's 999 US dollars for a couple more days check it out if you don't like it you can return it within 30 days but I'm kind of biased I think you will like it and if you do think it's worth it please leave a 5-star rating it helps so much on you to me but only if you believe it deserves a five-star rating right so don't just do it because I said so do it because you enjoy it where we are Toby my goals for 2020 I have no goals other than to keep my self-employed self employed because I believe in myself and I believe if I make it to the end of the year still employed good things will have happened any other ml YouTube channels we should follow that interesting Rosie um I don't know any of the top of my head other than Suraj revile who's an amazing guy so check out his channel alright so we've got one more question which one was it Minaj do I organize weekly live streaming for this like this for Q&A not weekly but usually monthly on my channel so subscribe to that and you'll find out when when new live streams are if you want to do it more often let me know what are your thoughts on cloud dev roles like dev ops verse ml /d s engineer great great question that's something I'm I was doing at my machine learning engineering role and it is a rapidly changing field which is why we've kind of left some of that out of the course too for now we've focused on rather rather than because the the field of cloud machine learning is changing so much it's hard to sort of to to make content about that because by the time you've made something it will have changed so it's a rapidly evolving space and still a problem that needs to be solved so high in high high demand cloud dev skills so check them out I would our research research research different cloud providers and see which one you're interested in I'm Google cloud certified so that's kind of the cloud platform I use for now all right we're gonna wrap this up surveys don't never apologize for asking questions I really appreciate it and I'll be doing more of these few A's in a future I really really really appreciate it like seriously guys I have a lot of fun here I'm a bit of a nerd as I said I stay in my room for a long time and so this is kind of like me getting social interactions so if you've had fun here leave a like leave a thumb up and if you have any other questions feel free to reach out ask in the discord and be sure to check out the course that we've just launched complete machine learning in data science the link is in the description if you do sign up please leave a five star rating only if you think it's worth it and if you don't like it you can always return it within 30 days so with that being said have an amazing day keep getting after it whatever you're getting after it and if you're if you're doing the course I hope you enjoy it but otherwise I'll see you in the next video the next stream well love you all that's coming do I want to end the stream yes let's do it thank you all I really really appreciate this have an amazing day