Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook -Class imbalance -Simpson's paradox -Poker +David MacKay -Probability, Paradox, and the Reasonable Person Principle +Probability +Pointwise mutual information -Lexical feature selection"

Positive matches

• 0.029 + - Text analysis
• 0.021 + - Paper/MacKay1991
• 0.021 + - Books
• 0.021 + - Probability theory
• 0.021 + - Probability distribution
• 0.020 + - Jupyter/notebook
• 0.018 + - Gradient descent
• 0.017 + - Rob Schapire
• 0.017 + - Ron Meir
• 0.016 + - Yoav Freund
• 0.011 + - IPython
• 0.011 + - Data science
• 0.011 + - SSH tunneling
• 0.011 + - Python
• 0.011 + - David Feldman
• 0.010 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - Cross entropy
• 0.009 + - Recommender system
• 0.008 + - Kullback–Leibler divergence
• 0.008 + - Gibbs' inequality

Negative matches

• 0.014 + - Natural language processing
• 0.013 + - Data analysis
• 0.012 + - tf-idf
• 0.007 + - NLP
• 0.005 + - Convolutional neural network
• 0.005 + - Class imbalance problem
• 0.002 + - CNN
• 0.002 + - spaCy
• 0.002 + - StanfordNLP
• 0.001 + - Christopher D. Manning
• 0.001 + - RNN
• 0.001 + - String metric
• 0.001 + - KoNLPy
• 0.001 + - Kyunghyun Cho
• 0.001 + - Attention (Deep learning)
• 0.001 + - Recurrent neural network
• 0.001 + - Closure tools
• 0.001 + - t-SNE
• 0.001 + - Gensim
• 0.001 + - KenLM