Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Ron Meir -Simpson's paradox -Rob Schapire +Probability, Paradox, and the Reasonable Person Principle +Lexical feature selection +Probability -Natural language processing"

Positive matches

• 0.029 + - Class imbalance problem
• 0.026 + - Poker
• 0.025 + - IPython
• 0.025 + - Class imbalance
• 0.021 + - Pointwise mutual information
• 0.021 + - Probability theory
• 0.021 + - Probability distribution
• 0.020 + - SSH tunneling
• 0.019 + - Data analysis
• 0.017 + - Yoav Freund
• 0.015 + - Artemy Kolchinsky
• 0.015 + - Text analysis
• 0.014 + - tf-idf
• 0.014 + - Jupyter
• 0.013 + - Data science
• 0.013 + - Gradient descent
• 0.011 + - Python
• 0.010 + - Cross entropy
• 0.010 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - David MacKay

Negative matches

• 0.015 + - CNN
• 0.009 + - Residual Learning
• 0.004 + - Residual leanrning
• 0.002 + - fastText
• 0.002 + - BERT
• 0.002 + - String metric
• 0.002 + - KenLM
• 0.002 + - Word segmentation
• 0.002 + - Word embedding
• 0.002 + - Kyunghyun Cho
• 0.002 + - KoNLPy
• 0.002 + - Archetype
• 0.002 + - Sentiment analysis
• 0.002 + - RNN
• 0.002 + - scispaCy
• 0.002 + - Sentence embedding
• 0.002 + - Latent Dirichlet allocation
• 0.001 + - Paper/Gatys2015
• 0.001 + - Christopher M. Danforth
• 0.001 + - LSTM