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 +Data science +Interdisciplinary research +Lexical feature selection +Jupyter/notebook -Natural language processing"

Positive matches

• 0.074 + - Science
• 0.033 + - Simpson's paradox
• 0.031 + - Computational social science
• 0.031 + - Poker
• 0.027 + - Data analysis
• 0.025 + - IPython
• 0.021 + - Pointwise mutual information
• 0.019 + - SSH tunneling
• 0.018 + - Yoav Freund
• 0.018 + - Ron Meir
• 0.018 + - Rob Schapire
• 0.017 + - Text analysis
• 0.017 + - tf-idf
• 0.015 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.013 + - Industry-Academic Partnership
• 0.013 + - Gradient descent
• 0.013 + - Python
• 0.011 + - David MacKay
• 0.011 + - Information Theory, Inference, and Learning Algorithms

Negative matches

• 0.015 + - CNN
• 0.006 + - Residual leanrning
• 0.004 + - Residual Learning
• 0.003 + - Paper/Gatys2015
• 0.003 + - Machine translation
• 0.002 + - Kyunghyun Cho
• 0.002 + - BERT
• 0.002 + - Long short-term memory
• 0.002 + - Christopher D. Manning
• 0.002 + - Topic modeling
• 0.002 + - Attention (Deep learning)
• 0.002 + - spaCy
• 0.002 + - Sentence embedding
• 0.002 + - Archetype
• 0.001 + - Syuzhet
• 0.001 + - Recurrent neural network
• 0.001 + - Dialog act
• 0.001 + - Sentiment analysis
• 0.001 + - Amazon Elastic Compute Cloud
• 0.001 + - fastText