Showing 4 Result(s)

Computational Bayesian Statistics

This textbook covers the following topics: Overall the content is very good. It’s a very math heavy book and assumes the reader knows a lot about prior statistics. It took me a longer time to read since I took the time to research anything I didn’t previously know. I would’ve loved to see the author …

MIT Deep Learning In Life Sciences

This lecture series was an inspiration to me. A captivating lecture series created by Manolis Kellis at MIT. The panel of guest lecturers has to be one of the most world class subset of individuals in this field. As a result, you get to see the cutting of deep learning in life sciences. In all …

Dive Into Deep Learning

Comprehensive Textbook that covers the following: An intriguing textbook that is extremely well written and applicable. The author works you through the theory of neural networks from the first inception all the way to current state of the art models like ChatGPT4. The textbook has math theory built into it, but what is most interesting, …