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 +Python +Lexical feature selection +tf-idf -Gensim"

Positive matches

• 0.054 + - Probability, Paradox, and the Reasonable Person Principle
• 0.045 + - Text analysis
• 0.038 + - Pointwise mutual information
• 0.028 + - Data analysis
• 0.026 + - Probability
• 0.023 + - Jupyter/notebook
• 0.022 + - Natural language processing
• 0.020 + - scikit-learn
• 0.018 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.018 + - Rob Schapire
• 0.018 + - Pajek
• 0.015 + - NLTK
• 0.014 + - Gradient descent
• 0.013 + - IPython
• 0.013 + - Data science
• 0.013 + - SSH tunneling
• 0.011 + - Information Theory, Inference, and Learning Algorithms
• 0.011 + - David MacKay
• 0.010 + - Cross entropy

Negative matches

• 0.030 + - word2vec
• 0.005 + - tfidf
• 0.003 + - Graph embedding
• 0.003 + - wiki2vec
• 0.002 + - Hierarchical softmax
• 0.002 + - Paper/Hamilton2016
• 0.002 + - Ilya Sutskever
• 0.001 + - Skip-gram
• 0.001 + - sense2vec
• 0.001 + - Network geometry
• 0.001 + - Softmax function
• 0.001 + - TensorFlow
• 0.001 + - WordRank
• 0.001 + - Clinical concept embedding
• 0.001 + - Paper/Levy2014
• 0.001 + - Paper/Levy2014a
• 0.001 + - William L. Hamilton
• 0.001 + - Google
• 0.001 + - Neural network
• 0.001 + - Residual Learning