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 +Learning +Lexical feature selection +Michael Ramscar -Rob Schapire +Simpson's paradox -Natural language processing"

Positive matches

• 0.055 + - Probability, Paradox, and the Reasonable Person Principle
• 0.035 + - Class imbalance
• 0.033 + - Class imbalance problem
• 0.029 + - Netflix prize
• 0.026 + - Gradient descent
• 0.025 + - Probability
• 0.022 + - IPython
• 0.017 + - Deep learning
• 0.017 + - Pointwise mutual information
• 0.017 + - tf-idf
• 0.016 + - Text analysis
• 0.015 + - Yoav Freund
• 0.014 + - SSH tunneling
• 0.014 + - Data analysis
• 0.014 + - How to study
• 0.014 + - Ron Meir
• 0.013 + - Data science
• 0.011 + - Jupyter
• 0.011 + - Python
• 0.009 + - Cross entropy

Negative matches

• 0.011 + - CNN
• 0.004 + - RNN
• 0.003 + - Residual leanrning
• 0.002 + - BERT
• 0.002 + - spaCy
• 0.002 + - Latent Dirichlet allocation
• 0.002 + - Dialog act
• 0.002 + - Word embedding
• 0.002 + - Kyunghyun Cho
• 0.002 + - Meta learning
• 0.002 + - Paper/Gatys2015
• 0.002 + - Archetype
• 0.001 + - Sentence embedding
• 0.001 + - KenLM
• 0.001 + - Word segmentation
• 0.001 + - KoNLPy
• 0.001 + - BookNLP
• 0.001 + - String metric
• 0.001 + - Bing Liu
• 0.001 + - Attention (Deep learning)