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 +David MacKay +Lexical feature selection +Probability, Paradox, and the Reasonable Person Principle +Probability +IPython -Rob Schapire -Natural language processing"

Positive matches

• 0.029 + - Python
• 0.029 + - Poker
• 0.027 + - Class imbalance problem
• 0.025 + - Class imbalance
• 0.021 + - Python/Modules
• 0.020 + - Gradient descent
• 0.019 + - Paper/MacKay1991
• 0.019 + - Books
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.017 + - Pointwise mutual information
• 0.017 + - SSH tunneling
• 0.017 + - tf-idf
• 0.016 + - Text analysis
• 0.015 + - Yoav Freund
• 0.014 + - Data analysis
• 0.014 + - Data science
• 0.013 + - Artemy Kolchinsky
• 0.012 + - Jupyter
• 0.010 + - SSH

Negative matches

• 0.010 + - CNN
• 0.004 + - RNN
• 0.004 + - Residual leanrning
• 0.002 + - Brain and deep learning
• 0.002 + - BERT
• 0.002 + - spaCy
• 0.002 + - Latent Dirichlet allocation
• 0.002 + - Dialog act
• 0.002 + - Kyunghyun Cho
• 0.002 + - Word embedding
• 0.002 + - Meta learning
• 0.002 + - Paper/Gatys2015
• 0.002 + - Archetype
• 0.002 + - Research advices
• 0.001 + - Sentence embedding
• 0.001 + - KenLM
• 0.001 + - Homophily and influence
• 0.001 + - Word segmentation
• 0.001 + - KoNLPy
• 0.001 + - Residual Learning