Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook -Class imbalance problem +Artemy Kolchinsky -Class imbalance -Simpson's paradox -Lexical feature selection"

Positive matches

• 0.063 + - Probability, Paradox, and the Reasonable Person Principle
• 0.030 + - Poker
• 0.028 + - IPython
• 0.026 + - Probability
• 0.024 + - SSH tunneling
• 0.020 + - Ron Meir
• 0.020 + - Rob Schapire
• 0.019 + - Yoav Freund
• 0.018 + - Gradient descent
• 0.017 + - Python
• 0.015 + - Jupyter
• 0.015 + - Data science
• 0.014 + - Recommender system
• 0.011 + - SSH
• 0.010 + - Information Theory, Inference, and Learning Algorithms
• 0.010 + - Cross entropy
• 0.010 + - David MacKay
• 0.009 + - David Feldman
• 0.009 + - Gibbs' inequality
• 0.009 + - Kullback–Leibler divergence

Negative matches

• 0.025 + - Data analysis
• 0.018 + - tf-idf
• 0.018 + - Natural language processing
• 0.012 + - Text analysis
• 0.009 + - Pointwise mutual information
• 0.006 + - NLP
• 0.004 + - Biomedical natural language processing
• 0.002 + - Recurrent neural network
• 0.002 + - NLTK
• 0.002 + - Gensim
• 0.002 + - spaCy
• 0.002 + - Word segmentation
• 0.001 + - StanfordNLP
• 0.001 + - fastText
• 0.001 + - Sentence embedding
• 0.001 + - BookNLP
• 0.001 + - D3
• 0.001 + - Dialog act
• 0.001 + - Sentiment analysis
• 0.001 + - Latent Dirichlet allocation