50+ days of Machine Learning

 Hello :) Today is Day 134! A quick summary of today: covered the last 2 lectures of Stanford's CS109 processed 4 more videos for the Scottish accent dataset started MLOps zoomcamp by DataTalks club watched a nice video comparing the roles of data scientist vs AI engineer Firstly, on lecture 27 : advanced probability and lecture 28 : future of probability from Stanford's CS109 What a course! Sad it is over. Chris Piech - what an extraordinary professor!  Both lectures were more or less an overview of the course and professor Piech's hopes for the future of probability and his hopes for his students. Lecture 27 Around 2013, autograd was introduced for the first time and this allowed for backprop to be automated, instead of manual calculations. This was one of the reasons for deep learning to explode. The professor also talked a bit about diffusion models #1 remove the noise #2 predict where the noise is And a bit about language models (at the time of recording ChatGPT had ju