Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Probability +Lexical feature selection +Jupyter/notebook +Yoav Freund -Simpson's paradox +Ron Meir +Probability distribution -Poker +Pointwise mutual information -Natural language processing"

Positive matches

• 0.076 + - Probability, Paradox, and the Reasonable Person Principle
• 0.048 + - Text analysis
• 0.037 + - Probability theory
• 0.028 + - Class imbalance problem
• 0.023 + - Class imbalance
• 0.022 + - IPython
• 0.019 + - Beta distribution
• 0.018 + - Gradient descent
• 0.017 + - Data analysis
• 0.015 + - tf-idf
• 0.015 + - Rob Schapire
• 0.014 + - SSH tunneling
• 0.013 + - Artemy Kolchinsky
• 0.013 + - Data science
• 0.012 + - Python
• 0.012 + - Jupyter
• 0.010 + - Information Theory, Inference, and Learning Algorithms
• 0.010 + - David MacKay
• 0.009 + - David Feldman
• 0.009 + - SSH

Negative matches

• 0.009 + - CNN
• 0.005 + - RNN
• 0.005 + - Residual leanrning
• 0.005 + - Residual Learning
• 0.002 + - Meta learning
• 0.002 + - BERT
• 0.002 + - spaCy
• 0.002 + - Latent Dirichlet allocation
• 0.002 + - scispaCy
• 0.002 + - Word embedding
• 0.002 + - Dialog act
• 0.002 + - Kyunghyun Cho
• 0.002 + - Sentiment analysis
• 0.001 + - Paper/Gatys2015
• 0.001 + - Sentence embedding
• 0.001 + - Attention (Deep learning)
• 0.001 + - Research advices
• 0.001 + - KoNLPy
• 0.001 + - Long short-term memory
• 0.001 + - Autoencoder