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 +Cross entropy +Information Theory, Inference, and Learning Algorithms +Probability, Paradox, and the Reasonable Person Principle -Lexical feature selection"

Positive matches

• 0.052 + - Books
• 0.038 + - Probability
• 0.022 + - Jupyter/notebook
• 0.021 + - Paper/MacKay1991
• 0.017 + - Ron Meir
• 0.017 + - Yoav Freund
• 0.016 + - Rob Schapire
• 0.013 + - SSH tunneling
• 0.013 + - Gradient descent
• 0.012 + - IPython
• 0.012 + - Python
• 0.011 + - Data science
• 0.010 + - Pointwise mutual information
• 0.008 + - Gibbs' inequality
• 0.008 + - Kullback–Leibler divergence
• 0.007 + - David Feldman
• 0.007 + - Learning
• 0.006 + - Privacy and Deanonymization
• 0.006 + - Future of work
• 0.005 + - Regular expression

Negative matches

• 0.019 + - Data analysis
• 0.016 + - tf-idf
• 0.015 + - Natural language processing
• 0.009 + - Text analysis
• 0.005 + - Convolutional neural network
• 0.005 + - NLP
• 0.003 + - Class imbalance problem
• 0.002 + - Long short-term memory
• 0.002 + - Kyunghyun Cho
• 0.002 + - Gensim
• 0.001 + - NLTK
• 0.001 + - Biomedical natural language processing
• 0.001 + - spaCy
• 0.001 + - BookNLP
• 0.001 + - Christopher D. Manning
• 0.001 + - Dialog act
• 0.001 + - Topic modeling
• 0.001 + - CNN
• 0.001 + - Residual Learning
• 0.001 + - StanfordNLP