Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Ron Meir -Simpson's paradox -David Feldman +Lexical feature selection -Artemy Kolchinsky -Natural language processing"

Positive matches

• 0.060 + - Probability, Paradox, and the Reasonable Person Principle
• 0.034 + - Class imbalance problem
• 0.034 + - Poker
• 0.028 + - Probability
• 0.028 + - IPython
• 0.026 + - Class imbalance
• 0.025 + - Data analysis
• 0.023 + - Pointwise mutual information
• 0.020 + - Text analysis
• 0.019 + - SSH tunneling
• 0.018 + - Rob Schapire
• 0.018 + - tf-idf
• 0.017 + - Yoav Freund
• 0.016 + - Python
• 0.016 + - Data science
• 0.015 + - Jupyter
• 0.013 + - Gradient descent
• 0.011 + - Cross entropy
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - David MacKay

Negative matches

• 0.011 + - CNN
• 0.011 + - Residual Learning
• 0.006 + - RNN
• 0.004 + - Residual leanrning
• 0.004 + - Paper/Gatys2015
• 0.002 + - Kyunghyun Cho
• 0.002 + - BERT
• 0.002 + - Long short-term memory
• 0.002 + - Word embedding
• 0.002 + - Christopher D. Manning
• 0.002 + - Topic modeling
• 0.002 + - Sentence embedding
• 0.002 + - spaCy
• 0.002 + - Archetype
• 0.002 + - Neural network
• 0.002 + - Dialog act
• 0.002 + - fastText
• 0.002 + - Musical composition
• 0.002 + - KoNLPy
• 0.001 + - Latent Dirichlet allocation