Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook -Rob Schapire -David Feldman +Information Theory, Inference, and Learning Algorithms +Simpson's paradox +Books +Lexical feature selection +Artemy Kolchinsky +tf-idf -Natural language processing"

Positive matches

• 0.056 + - Probability, Paradox, and the Reasonable Person Principle
• 0.037 + - Pointwise mutual information
• 0.033 + - Text analysis
• 0.028 + - Class imbalance problem
• 0.027 + - Poker
• 0.027 + - Probability
• 0.024 + - Home
• 0.022 + - Class imbalance
• 0.022 + - IPython
• 0.017 + - Data analysis
• 0.017 + - Gradient descent
• 0.015 + - Yoav Freund
• 0.015 + - scikit-learn
• 0.015 + - Ron Meir
• 0.015 + - Data science
• 0.014 + - SSH tunneling
• 0.012 + - Gensim
• 0.012 + - Jupyter
• 0.012 + - Python
• 0.011 + - tfidf

Negative matches

• 0.009 + - CNN
• 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 + - Dialog act
• 0.002 + - Word embedding
• 0.002 + - scispaCy
• 0.002 + - Sentiment analysis
• 0.002 + - Theano
• 0.001 + - Bing Liu
• 0.001 + - Attention (Deep learning)
• 0.001 + - Sentence embedding
• 0.001 + - KenLM
• 0.001 + - Word segmentation
• 0.001 + - Tomas Mikolov
• 0.001 + - KoNLPy