Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook -Class imbalance problem +Data science +Probability -Rob Schapire +Class imbalance -Yoav Freund -Lexical feature selection"

Positive matches

• 0.081 + - Probability, Paradox, and the Reasonable Person Principle
• 0.031 + - Simpson's paradox
• 0.028 + - Poker
• 0.026 + - Computational social science
• 0.024 + - IPython
• 0.022 + - SSH tunneling
• 0.021 + - Probability theory
• 0.021 + - Probability distribution
• 0.017 + - Ron Meir
• 0.016 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.012 + - Python
• 0.012 + - Gradient descent
• 0.010 + - Industry-Academic Partnership
• 0.009 + - David MacKay
• 0.009 + - Data
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.008 + - David Feldman
• 0.008 + - Gibbs' inequality
• 0.008 + - Kullback–Leibler divergence

Negative matches

• 0.019 + - Data analysis
• 0.016 + - Natural language processing
• 0.014 + - tf-idf
• 0.010 + - Text analysis
• 0.008 + - Pointwise mutual information
• 0.004 + - NLP
• 0.002 + - Convolutional neural network
• 0.002 + - Long short-term memory
• 0.002 + - Recurrent neural network
• 0.002 + - Gensim
• 0.002 + - BookNLP
• 0.002 + - NLTK
• 0.001 + - Dialog act
• 0.001 + - Topic modeling
• 0.001 + - CNN
• 0.001 + - scispaCy
• 0.001 + - Residual Learning
• 0.001 + - StanfordNLP
• 0.001 + - Biomedical natural language processing
• 0.001 + - KenLM