Practical Advice for Getting Started in Machine Learning
Last Updated on August 16, 2020
David Mimno is an assistant professor in the Information Sciences department at Cornell University. He has a background and interest in Natural Language Processing (NLP), specifically topic modeling. Notably, he is the chief maintainer of MALLET, the Java-based NLP library.
I recently came across a blog post by David titled “Advice for students of machine learning“. This is a great post and includes similar advice that I give to programmers and coaching students.
It’s a great post and great advice and I summarize it for you in this blog post.
Introductory Machine Learning Books
David recommends some pretty advanced books as introductory texts. The reason is that his students are graduate students and are up to the challenge. I do not recommend these texts myself.
Machine Learning- A Probabilistic Perspective
Nevertheless, the text’s he suggests are:
These may well be a selection of some of the best textbooks on machine learning available now. You’ll see them again and again as you look at the graduate courses at MIT, Stanford,
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