On Deck 2020-01

Interesting stuff, early 2020. Still working on my previous on-deck list.

Machine Learning

• Python Machine Learning 3rd ed.
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
• Unsupervised Evaluation and Weighted Aggregation of Ranked Classification Predictions by Mehmet Eren Ahsen, Robert M Vogel, Gustavo A Stolovitzky
• Building the Software 2.0 Stack a 2018 talk by Andrej Karpathy. Interesting thinking, although I don’t love the way it divides software engineering from ML. The talk is better than the origin blog post Software 2.0.
• Neurips 2019 videos, Notes by David Abel
• On the Measure of Intelligence Francois Chollet

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
• Christopher Potts made some hort screencasts on core concepts in natural language understanding
• Christopher Olah on Understanding LSTM Networks (2015)

AI and NLP in Healthcare

• Andrew Maas speaking on ML/NLP for Healthcare Analytics (Dec, 2018). Andrew is cofounder and chief scientist at Roam Analytics, a machine learning platform for healthcare. Andrew graduated with a PhD in Computer Science from Stanford University in 2015, advised by Andrew Ng and Dan Jurafsky.
• cs522.stanford.edu Seminar in Artificial Intelligence in Healthcare
• Challenges to the Reproducibility of Machine Learning Models in Health Care
• 15 ways Silicon Valley is harnessing Big Data for health by Becky McCall writing in Nature Medicine news.
• Top-Funded Digital Health Companies And Their Impact On High-Burden, High-Cost Conditions (Jan 2019) Safavi, et al. HEALTH AFFAIRS 38, NO. 1 (2019): 115–123
• “A patient like me” – An algorithm-based program to inform patients on the likely conditions people with symptoms like theirs have Koren et al. Medicine (2019) 98:42

Independent Research

• Nadia Eghbal on Reimagining the PhD: “You’re just a person, learning in public, about a topic that other people find interesting.”
• Becoming an Independent Researcher
• Emil’s Story as a Self-Taught AI Researcher

Other stuff

• Strange Loop is always interesting: Highlights from Strange Loop 2019 and PWLConf 2019
• The Making of an IO by Daniel Spiewak, showing that there’s interesting stuff going on in the Scala world.
• Cormac McCarthy’s tips on how to write a great paper
• A Distant Mirror by Barbara Tuchman
• Lunar Men Jenny Uglow

Writing

• Beginner’s guide to NLP
• Engineering Machine Learning