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 +Artemy Kolchinsky -Poker +Text analysis +Science +Python -Lexical feature selection"

Positive matches

• 0.047 + - Probability, Paradox, and the Reasonable Person Principle
• 0.028 + - Probability
• 0.028 + - Simpson's paradox
• 0.028 + - Class imbalance
• 0.027 + - Class imbalance problem
• 0.025 + - Computational social science
• 0.023 + - IPython
• 0.022 + - Policy
• 0.018 + - Interdisciplinary research
• 0.018 + - Industry-Academic Partnership
• 0.015 + - Yoav Freund
• 0.015 + - Rob Schapire
• 0.015 + - Ron Meir
• 0.015 + - Gradient descent
• 0.015 + - SSH tunneling
• 0.012 + - Pajek
• 0.012 + - Jupyter
• 0.011 + - Data analysis
• 0.010 + - Recommender system
• 0.009 + - David Feldman

Negative matches

• 0.011 + - Natural language processing
• 0.008 + - tf-idf
• 0.004 + - Convolutional neural network
• 0.002 + - scispaCy
• 0.001 + - spaCy
• 0.001 + - Dialog act
• 0.001 + - CNN
• 0.001 + - Word embedding
• 0.001 + - NLP
• 0.001 + - Christopher D. Manning
• 0.001 + - Archetype
• 0.001 + - Topic model
• 0.001 + - Kyunghyun Cho
• 0.000 + - fastText
• 0.000 + - KoNLPy
• 0.000 + - Residual Learning
• 0.000 + - Long short-term memory
• 0.000 + - Recurrent neural network
• 0.000 + - Latent Dirichlet allocation
• 0.000 + - Sentence embedding