Data Science vs Data Processing vs Data Visualisation? | 3000 Subscriber Livestream

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come say hi I pick a lad Oh had to get that the gram your gram changing all right let me have let me fix this up get the whiteboard hello y'all it's an awesome Saturday the sun is shining I'm really excited actually it's summer I just feel better in summer you know when you wake up in the morning and it's Sun's up and you come home and the Sun still up the Sun the Sun makes me feel really good fun purpose through this livestream is three thousand we hit three thousand subscribers guys three thousand that's crazy and I can't thank you enough so I'm here gonna be here for the next 40 maybe actually maybe half an hour 45 minutes or so because I've got jiu-jitsu class at 12:15 but we'll be right up to them I've got a few questions I'm on my little personal assistant here that we're gonna answer otherwise whatever comes up in the chat will also get bad get that going too so we're gonna we're gonna jump straight into it why not I'll be back from the US it's been uh it's been good it was a good trip it was amazing I'm still editing some footage I've got about two more videos to come from the u.s. trip and then we'll be back into regular scheduled programming learning intelligence is gonna continue their curricula I'm coming as always thank you so much for tuning in if you can't join the live stream if you're watching this at a later date it's good to see hope you're having an awesome day so first of all we got a first question someone asked me on LinkedIn what what my advice was for data science versus data visualization versus data processing as a career choice and now of course all of them are great options however I thought about it for a little bit and I replied back it's the best to do all three now that that was my that was my response it was it was as simple as while so it was all three however back to that was some reasoning behind it right so data science versus data visualization versus data processing and now if you want to imagine it to me data science would be at the top level data science and then stemming from that you got data visualization data processing or maybe yeah let's let's keep it at that that's that's that's simple to imagine once we got data science up here and then stemming down from it down a visualization data processing so reason why I said to do all three because it's kind of like a circle they all feed each other to do good data science work up here remember you have to do data processing because the information we get in the outside world in this in this beautiful can see that yeah look at that all those trees or then all the air or everything going around all all information right we're collecting it all the time we're collecting more and more especially especially with these devices you know so it's not in a it's not at a structured manner and it doesn't necessarily just come in and in in numbers and what computers best understand is is numbers so you need to be able to collect information and get it ready to be used on a computer in it in a way that you you might be able to use it so for example we had a problem recently at work right and it was to do with a whole bunch of different color names and so you can't just necessarily feed the color name to the computer you have to convert it into say blue into a RGB value which would be zero red 255 for blue and zero for green if you're not familiar with our BTB values Google I'm it's it's it's a it's a common standard for how the color of one single pixel is defined but the analogy color aside it doesn't matter you can do this for anything but colors just a really easy example because you can use you could use the color name blue by the computers are what'swhat's blue but if you feed at 0 255 0 if we'll understand that better so pre-processing is a big step right so you definitely if you want to do any kind of data science you have to be able to together ingest raw data so maybe you do that through pandas or numpy transform it you do that with with pandas again and then you've run it through some machine learning algorithms using maybe scikit-learn or tensorflow or or pi torch of some some kind of manner all right and then so you've done your processing you've put it through you've you've done and now you're doing some data science right you starting to see the correlation over time you're starting to see that that trend but how do you explain that to someone else like you can see the results you may be seeing the accuracy of your model it's going up and up and up and up and up and up as you're doing you're doing some great work on it however how do you explain that to someone else to get in a meeting anyway our model is getting 62% accuracy on on on predicting what Timmy's favorite calories wow that's that's incredible that's that's there's so many different colors it's that's doing pretty well for a model that predicts colors rudimentary example of course but what you might want to do is is use an example so you give your inner you're in a presentation of some sort and in your you're in an environment like this and maybe you've got a view got a whiteboard behind you and so you could go and give them a graph visualization because with visual creatures right we like to believe what we see seeing is believing you know that saying and so you could say here's how accurately are predicting this color here's how accurate is predicting this color but when you go up here it's really good so this is this one is probably it's probably Timmy's favorite color and now Biograph is at the best example maybe maybe not it's going to depend on what kind of story you're trying to tell now there's different ways to visualize different things and so the steps are once you ingest raw data you have to pre-process it you've done that proper work it's it's not gonna mean much if you can't explain it to someone else or can't communicate it to someone else right that's where you need to do the visualization the storytelling I read an article on media and if I can find it I'll share it or tweet it out or something like that and it said the most important part of any data science project is is the blog post and hi I totally I totally agree just because I'm very biased towards doing proper scientific proper communication in general but that way you can show your work to other people they can read it they can understand it and they can potentially even replicate it right it's it's very I I've read it hundreds of thousands of blog posts maybe not hundreds of thousands but hundreds to thousands you get the point of blog posts and identifying them more more beneficial to my learning than some some of the latest research papers and I mean those research papers of course it their scientific their official their there they're sharing the latest and greatest in the field but I myself learned best when when things are explained in a in a manner that I can understand and visualization is definitely a big part of that so if you want to think if you're thinking about data science versus data visualization but it's versus data data processing as a career path I would argue that they're all encompassing right if you if you're gonna be a data scientist you have to have to know how to process data you have to know how to how to visually express your findings until a story around those because that's that's what we understand best as humans right we understand we understand visual cues we understand stories we understand how one thing relates to another when we can see it there's a saying it's like seeing is believing of course we mentioned that one before but it's a trust one eye more than two ears so if you just hear someone saying something it might not mean that much but if you see it see with your own eyes and it then it it really really enforces that belief okay so that was that was data science versus data dies realization doses data processing and we've got five people in watching nice to meet nice to see you all it's it's a it's amazing that you've showed up here thank you so much and if you have any uh if you have any questions if you're watching this right now leave them in the chat and I'll get them as best I can well while we're here we'll be here for the next half an hour or so all right we got a Abhishek beautiful question Abhishek a man thank you for the question do you feel confident in building your own models alright so when I first started let's go back went through a lot of tutorials went through a lot of articles a lot of courses and whatnot and it got to a point where I'm like alright I'm following all these guidelines and then there's all these templates on on how to had a mmm morph this structured data into something something tangible something usable so some get some insights out of it however as I kind of wanted to move away there the training wheels and then I tried to build mo model and I failed miserably because I just I was too used to building and with training wheels but now so after after a bit of practice and after a bit of learning whatnot I'm more confident but still it's it's even even while at work even while working on real data science problems it was I still research every single day how do I do this step how do I do that step how do I go on Stack Overflow how do I merge this column on pandas into another column and re change the shape of the data frame so I can run the algorithm better or something like that or encode the data I mean I spent the other day about six hours going through this one one big Jupiter notebook of of how to pre process data and run it through a series of machine learning algorithms it's amazing amazing post semi send me a message on on telegram if you want I'll send it to you because you can't post links inner-image chat but if you go to that link P dot me slash mr deburr call me at eternity and it's amazing amazing how much is out there and how many different ways there are to do it so tells you a question my confident build my own models not from from scratch but I'm confident in my ability to research what is needed for the job so that I think that's that's a that's a key skill to have so you won't necessarily know how to do everything from scratch build your own version of whatever it is every single time but what you do need to have is an ability to keep me you have to not be afraid to be wrong so try something fail at it several times iterate and then search for the correct answer and hey the correct answer might not even be out there and I'm talking about the internet you may have to find the answer you create the answer yourself by combining different resources so the most important skill is is not is is not being able to create your own models from scratch every single time and then being perfect it's it's been not afraid to fail if you build them all and doesn't work and also being able to research ok what do I need next what do I need next and there may not be a correct step of what to do next so that's the iterative process it's going ok I'm at this roadblock now I got to get past it get past that one get past that one and it's just building out that practice and then eventually you might come across a problem you are I've seen this one before I can do a similar thing again it's it's that process that goes over and over and you ask any engineer it's the same story right I work with some incredibly smart people it's the same same story I'm not not going to be able to build everything from scratch every single time yo jenshaw need you to make more videos haha yes definitely don't worry there's more videos coming I try to try to make as many as I can with with everything else that's happening what sort of videos would you like to see heat it up in the chat thank you oh there's more videos to come don't you worry about that all right now we're gonna move on we got another question here how do I find myself so how do I learn and all this sort of stuff well most of the learning that I've I've done has been funded through through working saving up when I was doing that when I first started my online online AI master's degree I I left Apple I didn't have a job and I had a little bit of savings and I just poured that into online courses because to me education is the the one of the probably the best if not the best so education health I think thinking on the fly here are the two best things you can you can invest your time and money into right because that's that's where everything stems from you have good health right you can you can take on other challenges you have education you have knowledge you can use that knowledge to to to build to build wealth to take on new new problems in cetera et cetera so whenever you whenever you have a choice of investing time or money into into something else versus education I think education should always win and but how did I find myself throughout the master's degree when I was studying I was driving uber on weekends study Monday to Friday drive uber Friday Saturday Sunday that would pay for it right now I'm working as a machine learning engineer that's my main source of income and that goes straight towards saving straight towards food straight towards learning right so I have it I have like a little circle that I that I try to live my life by it's creating to learn and learning to create so it looks like this so you have learning and you have creating alright and this feeds into there and learning feeds into to creating so that's that's a little circle that I'm living my life right at the moment and I'm having a lot of fun doing it so I learn new things to create videos like this and like the other ones you've seen on my channel and I create videos to learn more things and it's a it's a it's a it's a loop it's a circle right funding whatever funding I get whatever money I get goes back into trying to feed this loop and keep this loop going so we've got some more people in the chat eight people are here thank you all for showing up if you're just joining for celebrating 3000 subscribers thank you all so much this is my beautiful drawing of a little rocket here and the screen is backwards so this is really hard to control my arm it's kind of kind of funny empiricists you're not too late mate it's only been going 15 minutes but no see you Hamad Abhishek what resource will you use to learn next steps from everywhere online so if I need if I run into a problem and I don't know what to do next it would just be searching asking for help that's another really important thing to do because sometimes we can get stuck in and thinking yes I'm gonna truck through this problem all by myself but really there's no such thing as a self-made person right everyone has had some sort of help from some some influence we're social creatures so don't be afraid to ask for help don't be afraid to fail don't be afraid to search there's there's an infinite amount of rural emissions if you're running into a specific problem try some things yourself and then if you still can't get past ask ask a specific question on Stack Overflow hey I tried this and now I'm thinking of this next what do you think I should do and more than likely you get a response within 30 minutes alright there's some incredible people on there I know there's one guy in the pandas the Tanners section who I've asked it a question on Stack Overflow in pandas tagged a pandas and the guy has responded in five minutes or less with a full-blown tutorial how to do it it's amazing so ask ask good questions if you get stuck and just just keep searching alright there's no set way set process of how to how to how to get to the next step and what I would think actually here's probably one step that you could do is define what your next what your next goal is right to be like for the next 25 minutes so you can set a timer this is what I do I'm gonna focus on nothing but trying to do this one thing um that's very valuable because otherwise you might get distracted by something else you go down the rabbit hole so if I get stuck on a roadblock on a problem I'll be like timer not on the phone because the phone is distracting but but somewhere on the internet or somewhere it get an app on your computer time I twenty five minutes I'll write down on a piece of paper literally write down next twenty five dot dot trying to solve this problem and then focus on that and then hey you may find you you get turned into twenty five minutes he I'm gonna keep going or you realize maybe that wasn't the best step I'll do something else all right so peer-assisted Kennedy I left Apple I think you got to mention you were sales rep not a data size ever oh yeah I was a genius at Apple so I was a technician right I know I was I really love it there actually because most of the time I would just spend on there on the floor like the the shop front floor talking to people and I think that's that's where I really was able to develop the skill of just just talking to to anyone I know I really do even before I started Apple I start I was extroverted right some I'm swayed a little bit extroverted probably probably 70% extroverted 7525 introverted but whatever everyone's a little bit of both yes as a genius I was repairing computers on the floor talking to customers and it was having a great time and then I go to the point I'm like hey I want to build this technology that I'm I'm servicing rather than running keep servicing it and I was just just about time to change it up and here we are it's been it's been a good ride so men what projects are you working on currently at the moment you got a few at at at max Kelso we got a couple on the go one is using OCR so so scanning scanning documents and then using trying to use natural language processing to extract it the other one is using health data so genomics so your DNA so your a C's GS and T's which are nucleotides which which which encode you right so like a computer is zero one zero one zero one your ACGT ACGT in some sort of order times 3.2 billions so we're taking that long string and I mean it's not I'm simplifying it here by saying it's a long string cuz DNA is just crazy complex got multiple dimensions and trying to use that information and figure out what the best treatment is for for someone right that's to me that's the next stage of health care is precision medicine so using data like a genomeics structure to specifically tailor the treatment to you as an individual rather than saying okay this one drug should fit this whole population could potentially craft a a drug specifically for you which will work with with with as best it can on your your DNA right so that's focused in the cancer section for immunotherapy specifically so that we've narrowed down the problem to focus on figuring out a predictive like how well a certain immunotherapy treatment will go on someone based on their DNA based on how the treatments gone on other people based on a whole whole bunch of other things but that's going to be a a multiple year project finally there's another one that's a some some price modeling so taking in a bunch of price data of previously sold products and then then figuring out okay say we we see a new product how can we use that previously previously seen amount of products data to model what what this next item will cost of course I can't share the specific said the MER [Music] if it makes one actually wrote a post on that that's public-facing but the other two projects are sort of just have to have to let you know the major topics rather than the intricate details but otherwise that's that's work personally doing doing some health I'm still learning in the health space so I'm really interested for me as health technology so that's what sets me on fire is I love health and tech you'll if you if you spend a day with me if you if you hear me talk I always lead to that somehow right and I live and breathe it it's I want to I want to use data I want to use technology to tell people we be healthier well not even it's not even even then I just wanted to be a product for myself like it's it's it's selfish I'll admit that but I know that it has value to to other people as well but I just be really interested in in putting some data behind say my training or say that the food I was eating to figure out how I could best perform at my next event or just in day to day life I think that's that's something that really excites me and if if that can benefit other people that's that's even better right otherwise there's another thing Alexa we built an Alexis school my Alexis going off now it's called the four minute workout there's a video on my channel we're still trying to think of what we can do there next there's a lot of stuff cooking in this room you've got the boys Evie by Josh what's up bruh there's the iOS developer so eventually are some some sort of iOS app with some sort of machine learning model plugged into the back of it - - we're thinking nutrition education of some sort but at the moment it's still largely in there in the brainstorming / hacking away the / figuring out where what direction we want to take but that's a big thing I think with with with projects it's like think of something that just excites you that you think that really or not even excite you that like we could be excited by it or really pisses you off like why why is that like that alright so for me that's that's that's healthcare I think of Helens like why are there so many unhealthy people I is it isn't so backwards that pisses me off right so I want to to use technology to help fix the problems over here so for projects either excite or pisses you off don't just be like oh this is gonna earn me lots of money whatever because I'm sure that's great that's great that's that's awesome if you can help some people doing that that's even better but over the long run you want it you want to find something that just really set you on fire and that comes from either like fear like well sorry not fear but yeah fear of it actually the problem getting worse or the excitement of I've just been like yes I'm going to tackle this problem but thank you good question hey Daniel love the vids thank you excessive that video lag is real oh damn is it still lagging Paul good to see you here brother access is very inspirational especially since I'm a supply chain how's the market for ML in Australia the the market for ML in Australia it's it's emerging right so a lot of you could say we do we do a lot of machine learning consulting at max Coulson a lot of the people that we partner with have heard of it however it's still a balance of trying to figure out where it where it can slot into into their workflow right so um I would say not not as forefront as the US we're certainly doing a lot of amazing work but in terms of people knowing about it wanting it incorporated in their business I went to the u.s. for a month possibly not that far yet we're maybe eighteen months behind that we usually are in terms of technology if we use the u.s. as a as a grounding point but certainly no shortage of our of amazing projects and and people getting into the field I mean it's it's ml ml market across the world is just exploding right it's it's a good time to be involved and there's no shortage of problems there's no shortage of challenges and I mean it's the same case everywhere however in terms of just just general public knowledge it's still I mean when I was driving uber and I was telling people I was doing machine learning and artificial intelligence online and they thought it was to do with aliens which is not so much about I think there's a lot of other movies paid posted as artificial intelligences aliens I mean it could be who knows we might be someone some company might be creating an artificial intelligent idea agent but we're getting off track yes ml market in Australia is growing its emerging it's like anywhere else in the world but still left and compete and to to remind people that it's not it's although it can do amazing things it's not like a magic bullet that's just like yeah we need machine learning that'll fix all our problems it's it's not not that simple right it's it's kind of sounds like it with it with the amazing technologies that have been released and announced by Google and whatnot but it's still up a very much this technology is awesome it's a giant cannon but but where can we where can we point it to do but the most damage with cannon does damaged it's not a good analogy but to bring the most value right where can we use this technology where how can we apply it where can we apply it so it's not just like oh yeah we're building this awesome stuff that's capable of this in theory which is just over here we want to be able to apply that to bring them together into industry that's what really interests me is that theory bringing that theoretical stuff and bring it into the real world and you know oh I see where the connection is that's where we can use that cool stuff all right Paul did I finish or did I start to finish the pipe of the data analysis book still going with that book I mean it's an amazing book probably gonna read it multiple times to be honest I mean I I don't finish a lot of the books I start because I just read them and if they don't teach me something in the first 10 pages I put it down and then if they do teach me something in 10 pages I go to about 100 and if it's still just dragging on I usually just read it for when I like work a specific problem so rather than like reading at all trying to absorb it all in one hit and this is the Python for data analysis by where's McKinney book by the way if you're wondering rather than trying to absorb it all in one hit I just read what I need at certain times but it's different for other books like storybooks I love I love storybooks I love I love uh also I said but any book by Yuval Noah Harare I've read all his books there's a new one I'm really excited to get actually I'll probably get that one I'm for myself in the next couple of months but Python for data analysis definitely still work-in-progress what are some quick breakfast foods that don't require cooking what can you need a lot fish and nuts so you can buy canned fish and nuts that's what I've been having for breakfast sometimes so that will both give you a high high intake of protein through the fish like I'll have a can of sardines in olive oil put it out in a bowl and then put nuts over the top and that that's some brain feel right there so that that doesn't require any cooking I mean you could you could I like also boiled eggs I mean boiled eggs don't take much cooking you can just put them in a pot with water heat them up takes 8 minutes and then you've got an awesome awesome little meal there I have three eggs with some nuts that's another meal usually in the mornings I avoid carbohydrates so it's it's a high fat high protein so so they're the two main foods I go for trying to think what are some other stuff coconut yogurt it's a pretty good one so any type of high fat yogurt so you want to avoid the ones with heaps of sugar in there well at least in my opinion the good part of dairy the good part of yogurt is is actually the fat a lot of people a lot of food manufacturers remove the fat mint fat sugar that's what will spike your insulin and that's what will make you hungry in about the next hour when that insulin level starts to rise back up you start to get a bit more hungry so foods that breakfast is don't require any cooking fish nuts nuts are amazing high fats some proteins some fiber in there and boiled eggs little bit of cooking otherwise I can't think of very many other other things that don't require cooking I do a lot of well things that I would eat personally you could do like a bottle of overnight oats or something like that I avoid carbohydrates in the morning so I don't really recommend that it all depends on what your personal preference is but but hit me up oh yeah send me a message and I'll get a bit more of a distinct answer for that for you just because at the moment I can't think of too many foods that don't require cooking because all the breakfast foods that I eat and love and think about most require a little bit of cooking just started AI with trading Udacity course Wow RAF yeah that's amazing I didn't even know they had that there's certainly there's certainly a lot of um a lot of trading is powered by AI and machine learning now it's just like scanning headlines and if Trump's name appears next to some company it's like a lot of a lot of opportunity and out of course but it's not something I'm fundamentally interested in so I don't have much experience with that but that's awesome Udacity is my favorite learning platform as well as Coursera Udacity and Coursera even we match for me then Venkatesh on oh hey BD Kumar how I am my friend how are we everyone we're celebrating the three thousand subscribers by the way if you're just tuning in ask me anything I'll do my best to answer it in the questions here a bit Akuma how to master Kegel competitions that's a great question my friend I mean I haven't I haven't done as much Kegel as I probably would like to but there's a cool example I think of Kegel how powerful that is on terms of um practice and and getting exposure of getting some some really good results as a company called h2o AI and if you look at their who they've hired they're all tangled like champions they're all Kegel masters they must just gone to the legal leader board and and picked out people from there so they're their whole staff is just cable masters it's actually really cool but that doesn't really answer your question of how to master it I would say reach out to some of the top guys know probably they'll probably um I'll probably want to help you I mean some of them might not reply because they're too busy entering competitions I mean we're not busy but being productive entering those competitions because it's it's really good value but otherwise it's it'd be like how you master anything else to me it's it's been out to reduce a problem into smaller steps and solve each one sequentially and iteratively alright so that's that's that framework can be applied to to any problem alright and don't expect it to happen overnight right so it's those masters that they might be at the top of the leaderboard for for for a lot of different competitions however their experience has probably come over the past ten five ten three for whatever number a long period of time of just just working on their craft of being able to look at a problem and then deduce it into just solvable steps and then using the skills they've learned to to progress to that at ranked what do we got here talk about semantic segmentation project Venkatesh I'm not entirely sure what a semantic segmentation project is I mean you is that like sentiment analysis I will come back to that if you hit me up in the chat again so we got Venkatesh again thanks for being a motivational inspirational motivator thank you so much man that means a lot to me sameen is good did you ever have to develop your own loss function create an optimizer for a specific project not as yet cement I haven't haven't ever had to create my own loss function optimizer yet most of the loss functions or optimizers I use part of the frameworks already I mean maybe once I've got more experience in in how they how they actually work so a lot of my work has been just applying what what what the geniuses in this field have have set out for all for all of us right it's I haven't done as much like pushing the field forward I don't think my skill set is best suited for that I think it's it's best suited to to take what what what people have created same machine learning researchers deep learning researchers all that they're beautiful loss functions they're beautiful optimizers and I can apply that to problems that interest me most but I haven't yet created my own custom ones yeo-jin sure what's my daily schedule like during the week I wake up at 5:00 a.m. usually go for a run or do some sort of exercise or right so I write an article every day on mr deburr comm you can see it there it varies on whatever topic is on my mind I just I just love I love communication of all types I love making videos I love writing so it's just a creative outlet that I do every single day so the morning I like to get up early I like to do some exercise I'd like to do some creating then I go to work so spend usually 9:00 to 5:00 at work Monday to Thursday after work I go to training so I work out again so maybe jiu-jitsu I've been loving jiu-jitsu lately I got bruises I know if you can see bruises all over me from jiu-jitsu Jani has been really fun and then after jiu-jitsu training I'll have dinner do some reading do some writing again and study where I can so so you today do courses and make upload the new YouTube do more writing but as I said writing everyday movement every day through the form of exercise running weightlifting jiu-jitsu and creating every day so there are three things that I typically do every single day and I'm in bed pretty early most often in between 9:00 and 10:00 p.m. because I I function best of 8 hours of sleep empiricism empiricists have you used non machine learning tools at work trying to understand what else other than ML algos seem most important for data science other machine learning tools not not as much yet the projects that I've I've worked on have have all done some sort of than some some sort of ml a lot of data pre-processing let's put it that way a lot so as in 60 to 70% of a project is getting the data ready for the machine learning algorithm so that's pandas mostly pandas for data frame manipulation feature encodings and scikit-learn for for feature encoding so I would say yes 64 70 percent maybe even 80 percent of projects has been data pre-processing and then 10% is the actual model and then 10% is deployment and another little chunk is like a ride up or something about that so communication so I would say majority is definitely pre-processing so if we look at this bath less less will we've got space to draw a draw here this is a whole project so you've got this pre proc pre-processing this is model this is deployment and then this is ongoing communication so model and then deploy and then ongoing so that's maintenance updating the model if it goes wrong or something like that but most of your time most of our time is spent getting the data ready in pre-processing and I mean is that backwards gotta figure out this this is backward thing Raphael that's also good for blood vessel elasticity that's amazing I didn't even know that what is insulin and why do people with diabetes have insulin Samuel insulin is is our hormone I don't know it's I don't know it inside now to be able to explain it that's a good point maybe I should get around this and I don't know too much I don't know too much about diabetes to be honest all I know is that so if you imagine your your metabolism is there no let's imagine your energy as a graph when you eat insulin goes up and then it drops back down so for for me I find that my energy if I eat a high-fat high-protein meal stays stays like this right so so don't get a big spike why do I get a big spike so if I eat carbohydrates because that's a fast burning fuel if you have this flatline eat some carbohydrates here goes up but then comes back down so while you're going out your body's like yes this is good I'm getting all this energy but then it starts to come back down and you get a bit more hungry again and you want to eat again to to get back to that high level right whereas if I eat high-protein high fat my energy level stays like this it stays constant so food comes in here stays constant food comes in here and then I'll go work out so my energies drops a little because I've just worked out there I'll have a carbohydrate meal to replenish that energy store and it comes back up to that baseline so it's trying to avoid those that roller-coaster type of energy level now I'm gonna I'm actually probably gonna research the insulin and diabetes problem so if you want to might do a blog post on that actually yeah that's that's a good idea so I can check out mr. Bieber calm within the next couple of days I might have a blog post on there otherwise message to me on telegram and I'll allah-allah tell you what I figure out about that might make a video about it who knows but you've got me curious I really should know more about that Daniel ghk kk g HJ j hv ask Daniel how do I keep motivated every day I'll show you there's one one source is up here I wrote myself a hundred million dollar check it's gonna cash on my birthday in 2020 and who knows will it actually cash I don't care but it's just like a just like a a reason to keep going so when I'm spending most of my time at this desk studying trying to try to figure out you yeah thinking about the world I can clear inside be like ah that's why and the money is not no I don't care about money it's just I think what it is is it's like a symbol money if you get super rich right it's like a symbol that you have brought a significant amount of value to the world so that's as much as you like it as much you don't like it right now in there in this society that we live in a capitalism based community based world right that's that's a factor in the matter and if you bring enough value to other people you will get rewarded in some way so that is just a simple goal to myself the other is just I just I just in what's the alternative right I just thinking about what's the alternative I just not do it and then not learn and not follow what I want to do that's that's not an option for me right now that's that's a big thing it's just three words what's four if you count the construction what's the alternative all right and you think about it you just not do what thing you want to do that's to me that's like if you know what you want to do you Mo's will just do that and sometimes it's gonna be hard C Mo's will accept that but it's it's because it's it's what you want to do that's how I stay motivated every day I mean there's this days that I don't feel like doing anything but just gonna keep the wheels in motion that's why I had them write every day create every day move every day just because there's no other choice there any things that I do every day so I don't have to decide tomorrow whether I want to do it it's just like no every day so that's that's my answer for that it's probably it's really unique to each individual what your reason for doing something is but for me it's just what's the alternative to just not do it not an option and then had some sort of just just having fun with it right so have fun with whatever whatever challenge you on yeah I was actually speaking to to someone the other day I was talking about the concept of our living to work working to live and so a real big shift in my mental state was work and player actually just the same thing so rather than working to live so like you work hard hard hard and then you like have a big holiday the best the best way to get balance on that is to move to work so to live to get up tomorrow to to work on what you want to work on and that takes time to practice that but it's it's worth it right what's what's the alternative are there exercises you can do at home stay healthy without going to the gym yes of course walking running push-ups bodyweight squats jumps star jumps pull-ups I built a pull-up bar in my backyard so you can do that animal crawl so you can crawl on the ground yoga that there be times where I don't go to gym but I sit in my room and play yoga on the iPad so oh yeah we've built an Alexa skill to do that so if you have an Alexa look up 4-minute workout and they're all workouts exercises that you can do at home but there's plenty of stuff you can do you don't necessarily the healthiest cultures in the world don't have a gym membership all right we are we have about probably one more question because I got to go to training in like ten minutes here we go do you use things like matplotlib Seabourn yes use both matplotlib and Seaborn whatever whatever visualization tool is best for the job and we will do one more there is a Coursera course on Cargill that's amazing and I also get Bruce from BJJ that's awesome that's awesome Raphael one more I see that there are few ko competitions are hosted in that domain well there are a few competitions hosted in that domain you can probably probably find your your own Cagle competition or not sorry fun not find your own competition create your own by finding your own own process of it you want pixel level classification and giving in something like binary segmentation moans I would say go to PI Image Search comm find a tutorial on there or use one of their tutorials as the the basis for your own project if there is an accomplishment really cool about that sharing what you learned with others but otherwise we're gonna wrap this up thank you so much for tuning in if you're you're here in the stream you're you're amazing I thank you all so much 3,000 is an incredible number as I send them 1000 that's crazy to triple that there's gonna be plenty more videos in the future playable livestreams play more questions reach out to me any time if I didn't answer your question on stream you're watching this to the later date thanks for tuning in it's been an awesome awesome session otherwise you know what to do keep learning team I'll see you the next video