Future of Machine Learning

Key Takeaways

hello everyone uh welcome to Geeks for Geeks so in this video we will talk about the future of machine learning okay so in the complete module one uh we have talked about what is machine learning right uh what's the history behind that where it from where it came right this term came uh what's the type of machine learning what's the applications that we have in this domain what's the challenges that we have in this domain now the question is okay we have completed our uh idea of machine learning but what's the future is is there a need to you know as a fresher looking for this domain is that worth it or not or if you are in a industry and want to switch to this this domain is that worth it or not this is the biggest question right you need to ask from yourself so what I would say is if you will observe right what do you think is the data will go anywhere the answer is no the generation that we are in today is data driven right and the demand for this data will keep on increasing as we move towards uh further 2000s right now as the data is increasing as the demand of data will keep on increasing and we are pretty sure about that so to handle that data to get the beautiful insights about that data this domain will be there right machine learning and includes sub uh you know in the first session we have seen right machine learning which includes deep learning as well whenever a huge data will be there where machine learning algorithms fail deep learning came into picture to handle that complex data so not only this machine learning domain and the algorithms behind that but also followed by Deep learning algorithms you should have a very clear idea about that so it's a very important uh you know thing to understand that this domain will not go anywhere but the fundamentals that you're learning from this domain and the fundamentals apart from this live implementations which we will do if you will be able to do that that will really help you in a long way because this is a quite booming domain it's quite demanding domain and actually actually I'm saying uh Industries required a very good highly skilled data scientist who will be able to generate the models with a very low error with a very low uh you know U bias with a very high accuracy right apart from this there are so many iits there are so many uh uh you know companies who are doing a lot of funding in order to make this particular domain grow in order to work in explainable AI as I talk about in the last video itself that there is a huge challenge of interpret interpretability where we don't know that okay this model is giving me this prediction but why is that so how can I build a trust upon that a lot of work is going on in that domain right now what is your part is that you need to you you need to think again and again that you know uh whenever I'm teaching in the upcoming sessions as this module one is completely completed now it's the very last video and I hope that from this complete module you get the motivation of learning this concepts of machine learning now in the upcoming sessions when we are starting our supervised learning uh module in a great detail where I'll start with the linear regression model what you have to focus on is the fundamentals part the mathematical idea behind that and and what you will observe is that implementation is very easy what is difficult and what many people are lagging behind is its mathematical intuitions they just crammed and they just know that how we will be able to fetch the model via escalar libraries that we have in Python but what people doesn't know the fundamentals what people doesn't know the mathematical ideas behind the algorithms so in the upcoming sessions I'll try to first of all explain you the fundamentals in a in a great detail the math medical intuition behind every algorithm in a great detail followed by the implementation of the same algorithm and that's how the complete flow will go for all the algorithms I hope that you all are excited with me to start this new amazing journey and you have gained a lot of motivation now in the complete module one that what is this machine learning all about and why you should learn that okay with this let's end today's video I will see you all very soon in the upcoming uh module number two where now we are starting our journey to learn super supervised learning in a in a great detail and I hope you know that supervised learning is something where we will be having a label data so whatever implementations we will do in that module you will always observe that I'm working on a label data site okay so bye-bye everyone and see you