Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook -Class imbalance -Probability, Paradox, and the Reasonable Person Principle +Cross entropy +David Feldman +IPython -Lexical feature selection"

Positive matches

• 0.038 + - Python
• 0.036 + - Simpson's paradox
• 0.030 + - Poker
• 0.027 + - Python/Modules
• 0.027 + - Jupyter/notebook
• 0.020 + - SSH tunneling
• 0.020 + - Rob Schapire
• 0.020 + - Ron Meir
• 0.020 + - Yoav Freund
• 0.018 + - Gradient descent
• 0.016 + - Data science
• 0.015 + - Recommender system
• 0.011 + - SSH
• 0.010 + - Information Theory, Inference, and Learning Algorithms
• 0.010 + - David MacKay
• 0.009 + - Gibbs' inequality
• 0.009 + - Kullback–Leibler divergence
• 0.008 + - Privacy and Deanonymization
• 0.008 + - Pointwise mutual information
• 0.007 + - Learning

Negative matches

• 0.025 + - Data analysis
• 0.018 + - tf-idf
• 0.017 + - Natural language processing
• 0.010 + - Text analysis
• 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 + - Dialog act
• 0.001 + - Sentiment analysis
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Amazon Elastic Compute Cloud
• 0.001 + - Christopher D. Manning