Search "+Peter Norvig +Automated machine learning +Paradox +Jupyter/notebook -Probability, Paradox, and the Reasonable Person Principle -Poker +IPython notebook +Class imbalance problem +Jupyter +scikit-learn +Tim Hopper +Class imbalance +Lexical feature selection +Data science -Natural language processing"

Positive matches

• 0.147 + - Machine learning
• 0.039 + - IPython
• 0.034 + - Polynote
• 0.033 + - Simpson's paradox
• 0.030 + - Computational social science
• 0.026 + - tf-idf
• 0.026 + - Python
• 0.023 + - Data analysis
• 0.023 + - SSH tunneling
• 0.022 + - Travelling salesman problem
• 0.022 + - Decision tree
• 0.016 + - Pointwise mutual information
• 0.015 + - Text analysis
• 0.014 + - Artemy Kolchinsky
• 0.014 + - tfidf
• 0.012 + - Random forest
• 0.011 + - Industry-Academic Partnership
• 0.010 + - Python/Modules
• 0.010 + - skorch
• 0.009 + - Gradient descent

Negative matches

• 0.015 + - CNN
• 0.009 + - Residual Learning
• 0.005 + - Residual leanrning
• 0.003 + - Neural network
• 0.002 + - BERT
• 0.002 + - Kyunghyun Cho
• 0.002 + - Long short-term memory
• 0.002 + - Christopher D. Manning
• 0.002 + - Topic modeling
• 0.002 + - Word embedding
• 0.002 + - Sentence embedding
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - spaCy
• 0.002 + - RNN
• 0.002 + - Paper/Gatys2015
• 0.002 + - Attention (Deep learning)
• 0.002 + - Differentiable neural computers
• 0.002 + - Dialog act
• 0.002 + - Sentiment analysis
• 0.001 + - fastText