Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook -Class imbalance +Probability, Paradox, and the Reasonable Person Principle +David Feldman +Lexical feature selection -Information Theory, Inference, and Learning Algorithms +Yoav Freund -Natural language processing"

Positive matches

• 0.049 + - Probability
• 0.033 + - Simpson's paradox
• 0.024 + - Data analysis
• 0.024 + - Jupyter/notebook
• 0.023 + - Pointwise mutual information
• 0.020 + - Poker
• 0.018 + - tf-idf
• 0.018 + - Ron Meir
• 0.018 + - Rob Schapire
• 0.016 + - Text analysis
• 0.013 + - IPython
• 0.013 + - Gradient descent
• 0.013 + - Data science
• 0.013 + - SSH tunneling
• 0.012 + - Python
• 0.011 + - David MacKay
• 0.010 + - Cross entropy
• 0.009 + - Gibbs' inequality
• 0.008 + - Kullback–Leibler divergence
• 0.008 + - Privacy and Deanonymization

Negative matches

• 0.033 + - Books
• 0.015 + - CNN
• 0.008 + - Residual Learning
• 0.005 + - Residual leanrning
• 0.003 + - Amazon Elastic Compute Cloud
• 0.002 + - BERT
• 0.002 + - Kyunghyun Cho
• 0.002 + - Word embedding
• 0.002 + - Christopher D. Manning
• 0.002 + - Topic modeling
• 0.002 + - Sentence embedding
• 0.002 + - RNN
• 0.002 + - Paper/Gatys2015
• 0.002 + - Neural network
• 0.002 + - spaCy
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Long short-term memory
• 0.002 + - Machine translation
• 0.002 + - Dialog act
• 0.002 + - Sentiment analysis