On Deck 2019-11

Notwithstanding my failure to wrap up all this stuff, here’s a pile of stuff I’m trying to stuff into my brain in the last weeks of 2019:

Machine Learning

• Python Machine Learning 3rd ed.
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
• TensorFlow in Practice Specialization
• ML Meets Economics: New Perspectives and Challenges
• Google’s AI comics

Machine Learning Engineering

• Rules of Machine Learning: Best Practices for ML Engineering
• How to be a Good Machine Learning PM

AI in Medicine

• Reimagining Clinical Documentation With Artificial Intelligence
• Using Deep Learning to Inform Differential Diagnoses
• Toward A Distributed, Benchmarking Ecosystem Using Electronic Healthcare Data

NLP

• NLP in Action
• Neural Network Methods for NLP, by Yoav Goldberg
• Speech and Language Processing, Jurafsky & Martin
• Stanford CS224N: NLP with Deep Learning, Winter 2019

Other NLP links

• Spacy
• Transfer learning in natural language processing
• Squad: 100,000+ questions
• AllenNLP ELMo
• Language Models with Transformers
• Transformers: State-of-the-art Natural Language Processing
• What is a transformer?

NLP DataSets

• n2c2 NLP Research Data Sets
• MedNLI, Lessons from Natural Language Inference in the Clinical Domain

Development

• Running Flask APIs on AWS Lambda
• chakki-works/doccano: an open source text annotation tool for humans.
• DevOps

Writing

• Idiomatic Python
• Beginner’s guide to NLP
• Engineering Machine Learning