Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Poker +Class imbalance problem +Probability, Paradox, and the Reasonable Person Principle +IPython -Artemy Kolchinsky -Lexical feature selection"

Positive matches

• 0.094 + - Class imbalance
• 0.051 + - Probability
• 0.034 + - Python
• 0.033 + - Simpson's paradox
• 0.026 + - Python/Modules
• 0.022 + - SSH tunneling
• 0.019 + - Gradient descent
• 0.018 + - Data science
• 0.018 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.018 + - Rob Schapire
• 0.015 + - Jupyter
• 0.014 + - SSH
• 0.010 + - Recommender system
• 0.010 + - David MacKay
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - David Feldman
• 0.008 + - Gibbs' inequality
• 0.008 + - Kullback–Leibler divergence
• 0.008 + - Python/Flask

Negative matches

• 0.018 + - Data analysis
• 0.015 + - Natural language processing
• 0.014 + - tf-idf
• 0.010 + - Text analysis
• 0.008 + - Pointwise mutual information
• 0.007 + - NLP
• 0.005 + - Convolutional neural network
• 0.003 + - StanfordNLP
• 0.003 + - CNN
• 0.002 + - spaCy
• 0.002 + - RNN
• 0.002 + - Gensim
• 0.002 + - NLTK
• 0.002 + - String metric
• 0.001 + - Kyunghyun Cho
• 0.001 + - KenLM
• 0.001 + - Biomedical natural language processing
• 0.001 + - BookNLP
• 0.001 + - Sentiment analysis
• 0.001 + - Christopher D. Manning