Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook -Class imbalance +Jupyter/notebook -Rob Schapire +Gibbs' inequality -Poker +IPython +Lexical feature selection -Natural language processing"

Positive matches

• 0.062 + - Probability, Paradox, and the Reasonable Person Principle
• 0.039 + - Kullback–Leibler divergence
• 0.035 + - Pointwise mutual information
• 0.033 + - Python
• 0.031 + - Simpson's paradox
• 0.028 + - SSH tunneling
• 0.023 + - Python/Modules
• 0.020 + - Probability
• 0.019 + - Data analysis
• 0.019 + - Data science
• 0.017 + - Ron Meir
• 0.017 + - Yoav Freund
• 0.017 + - tf-idf
• 0.015 + - Artemy Kolchinsky
• 0.014 + - Text analysis
• 0.013 + - Jupyter
• 0.012 + - Python/Beautiful soup
• 0.012 + - Gradient descent
• 0.010 + - Information Theory, Inference, and Learning Algorithms
• 0.010 + - David Feldman

Negative matches

• 0.011 + - CNN
• 0.007 + - Residual Learning
• 0.004 + - Residual leanrning
• 0.003 + - RNN
• 0.003 + - Class imbalance problem
• 0.002 + - BERT
• 0.002 + - String metric
• 0.002 + - fastText
• 0.002 + - Word segmentation
• 0.002 + - Word embedding
• 0.002 + - Kyunghyun Cho
• 0.002 + - KoNLPy
• 0.002 + - Differentiable neural computers
• 0.002 + - Archetype
• 0.002 + - spaCy
• 0.002 + - Sentiment analysis
• 0.002 + - Sentence embedding
• 0.002 + - Latent Dirichlet allocation
• 0.001 + - Christopher D. Manning
• 0.001 + - KenLM