Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Data science +Cross entropy +Pointwise mutual information +Ron Meir +Class imbalance -Simpson's paradox -Lexical feature selection"

Positive matches

• 0.063 + - Probability, Paradox, and the Reasonable Person Principle
• 0.061 + - Class imbalance problem
• 0.028 + - Computational social science
• 0.026 + - Poker
• 0.025 + - IPython
• 0.025 + - Text analysis
• 0.020 + - Probability
• 0.020 + - SSH tunneling
• 0.018 + - Rob Schapire
• 0.017 + - Yoav Freund
• 0.015 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.013 + - Gradient descent
• 0.012 + - Python
• 0.010 + - David MacKay
• 0.010 + - Information Theory, Inference, and Learning Algorithms
• 0.010 + - Industry-Academic Partnership
• 0.010 + - Data
• 0.010 + - David Feldman
• 0.008 + - Gibbs' inequality

Negative matches

• 0.013 + - Natural language processing
• 0.013 + - Data analysis
• 0.013 + - tf-idf
• 0.004 + - NLP
• 0.002 + - Long short-term memory
• 0.002 + - spaCy
• 0.002 + - BookNLP
• 0.001 + - Topic modeling
• 0.001 + - Convolutional neural network
• 0.001 + - Dialog act
• 0.001 + - Residual Learning
• 0.001 + - Biomedical natural language processing
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Gensim
• 0.001 + - NLTK
• 0.001 + - RNN
• 0.001 + - CNN
• 0.001 + - Topic model
• 0.001 + - Sentence embedding
• 0.000 + - Sentiment analysis