Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Simpson's paradox +David Feldman +Recommender system -Artemy Kolchinsky -Rob Schapire +Ron Meir +Python +Lexical feature selection -Natural language processing"

Positive matches

• 0.056 + - Probability, Paradox, and the Reasonable Person Principle
• 0.033 + - Class imbalance problem
• 0.033 + - Class imbalance
• 0.029 + - Netflix prize
• 0.026 + - Probability
• 0.023 + - IPython
• 0.023 + - Gradient descent
• 0.021 + - Poker
• 0.019 + - Pointwise mutual information
• 0.016 + - SSH tunneling
• 0.015 + - tf-idf
• 0.015 + - Yoav Freund
• 0.014 + - Text analysis
• 0.013 + - Data science
• 0.013 + - Data analysis
• 0.013 + - Pajek
• 0.012 + - Jupyter
• 0.011 + - SSH
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.008 + - Privacy and Deanonymization

Negative matches

• 0.015 + - CNN
• 0.005 + - RNN
• 0.004 + - Residual Learning
• 0.003 + - Residual leanrning
• 0.002 + - Paper/Gatys2015
• 0.002 + - BERT
• 0.002 + - spaCy
• 0.002 + - Kyunghyun Cho
• 0.002 + - Latent Dirichlet allocation
• 0.002 + - Word embedding
• 0.002 + - scispaCy
• 0.002 + - Sentiment analysis
• 0.001 + - Attention (Deep learning)
• 0.001 + - Sentence embedding
• 0.001 + - KenLM
• 0.001 + - Word segmentation
• 0.001 + - KoNLPy
• 0.001 + - BookNLP
• 0.001 + - Paper/Hochreiter1997
• 0.001 + - Musical composition