Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Recommender system +Artemy Kolchinsky -Poker +Lexical feature selection -Rob Schapire +SSH tunneling -Simpson's paradox +tf-idf -Natural language processing"

Positive matches

• 0.058 + - Probability, Paradox, and the Reasonable Person Principle
• 0.046 + - Shell
• 0.037 + - Pointwise mutual information
• 0.034 + - Text analysis
• 0.034 + - Class imbalance problem
• 0.032 + - Class imbalance
• 0.029 + - Netflix prize
• 0.027 + - SSH
• 0.025 + - Probability
• 0.024 + - Gradient descent
• 0.024 + - Proxy
• 0.022 + - IPython
• 0.015 + - Yoav Freund
• 0.015 + - Ron Meir
• 0.015 + - scikit-learn
• 0.014 + - Data analysis
• 0.013 + - Python
• 0.013 + - Data science
• 0.012 + - Gensim
• 0.012 + - Jupyter

Negative matches

• 0.009 + - CNN
• 0.006 + - Residual Learning
• 0.005 + - RNN
• 0.005 + - Residual leanrning
• 0.002 + - Meta learning
• 0.002 + - BERT
• 0.002 + - spaCy
• 0.002 + - Kyunghyun Cho
• 0.002 + - Latent Dirichlet allocation
• 0.002 + - scispaCy
• 0.002 + - Word embedding
• 0.002 + - Sentiment analysis
• 0.002 + - Dialog act
• 0.001 + - Sentence embedding
• 0.001 + - Paper/Gatys2015
• 0.001 + - Attention (Deep learning)
• 0.001 + - KenLM
• 0.001 + - Word segmentation
• 0.001 + - KoNLPy
• 0.001 + - Long short-term memory