Books & Podcasts

I love books! Here are some I’m reading for research, some just because.

  1. John Brockman: The Idea is Brilliant
  2. Edited by Luciano Floridi: The Routledge Handbook of Philosophy of Information
  3. Judea Pearl: Causal Inference in Statistics: A Primer
  4. Trevor Hastie, Robert Tibshirani, & Jerome Friedman: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
  5. Lars Grüne & Jürgen Pannek : Nonlinear model predictive control: Theory and algorithms.
  6. Daphne Koller & Nir Friedman: Probabilistic Graphical Models: Principles and Techniques
  7. Stuart Firestein: Ignorance: How it Drives Science
  8. Brian Christian & Tom Griffiths: Algorithms to Live By: The Computer Science of Human Decisions

I’m also a podcast junkie! Here are a few of my favorites.

  1. TWiML&AI: This Week in Machine Learning & Artificial Intelligence
  2. The Architect Show
  3. The Infinite Monkey Cage