"Good friends, good books, and a sleepy conscience: this is the ideal life." I hope you're reading this blog in your pyjamas looking forward to a rejuvenating and healthy weekend. So, I have been working on multiple projects from creating MLE/MLOps courses to developing end-to-end ML systems at scale and I have realized that oftentimes, I am either revisiting a book that I've read or I'm referring to a book that I just skimmed through but never got the chance to really read it. This week, I want to share with you the books that I personally feel every ML Enthusiast and Practitioner should read to get a sense of the breadth(ideas) and depth(grok) of this field respectively. It is a short and crisp list covering a majority of ML topics.