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 +Cross entropy +Yoav Freund +Lexical feature selection -NLP"

Positive matches

• 0.045 + - Pointwise mutual information
• 0.036 + - Simpson's paradox
• 0.026 + - Data analysis
• 0.026 + - Text analysis
• 0.025 + - Jupyter/notebook
• 0.025 + - Poker
• 0.020 + - Rob Schapire
• 0.020 + - Ron Meir
• 0.018 + - tf-idf
• 0.018 + - Gradient descent
• 0.015 + - Recommender system
• 0.014 + - SSH tunneling
• 0.013 + - Python
• 0.013 + - Data science
• 0.012 + - IPython
• 0.012 + - Information Theory, Inference, and Learning Algorithms
• 0.011 + - David MacKay
• 0.011 + - David Feldman
• 0.009 + - Gibbs' inequality
• 0.009 + - Kullback–Leibler divergence

Negative matches

• 0.034 + - Sentiment analysis
• 0.024 + - Cecilia Mascolo
• 0.017 + - Natural language processing
• 0.006 + - Archetype
• 0.002 + - Retweet
• 0.002 + - KenLM
• 0.002 + - Word embedding
• 0.002 + - Kyunghyun Cho
• 0.001 + - Social media
• 0.001 + - Topic modeling
• 0.001 + - D3
• 0.001 + - Keras
• 0.001 + - Topic model
• 0.001 + - Science of science
• 0.001 + - Unemployment
• 0.001 + - Shapes of Stories
• 0.001 + - Paper/Tshitoyan2019unsupervised
• 0.001 + - Twittermood
• 0.001 + - KoNLPy
• 0.001 + - String metric