Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Class imbalance +IPython +Class imbalance problem +Pointwise mutual information +Simpson's paradox +Lexical feature selection -Natural language processing"

Positive matches

• 0.058 + - Probability, Paradox, and the Reasonable Person Principle
• 0.051 + - Text analysis
• 0.036 + - Python
• 0.031 + - Data analysis
• 0.027 + - Probability
• 0.026 + - Jupyter/notebook
• 0.026 + - Python/Modules
• 0.024 + - Poker
• 0.020 + - tf-idf
• 0.019 + - SSH tunneling
• 0.018 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.017 + - Rob Schapire
• 0.014 + - Data science
• 0.013 + - Gradient descent
• 0.012 + - David MacKay
• 0.012 + - Cross entropy
• 0.011 + - David Feldman
• 0.011 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - SSH

Negative matches

• 0.014 + - CNN
• 0.010 + - Residual Learning
• 0.004 + - Residual leanrning
• 0.003 + - Neural network
• 0.002 + - BERT
• 0.002 + - Christopher D. Manning
• 0.002 + - Topic modeling
• 0.002 + - Sentence embedding
• 0.002 + - spaCy
• 0.002 + - Kyunghyun Cho
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Word embedding
• 0.002 + - RNN
• 0.002 + - Long short-term memory
• 0.002 + - Continuous embedding
• 0.002 + - Paper/Gatys2015
• 0.002 + - KoNLPy
• 0.001 + - Attention (Deep learning)
• 0.001 + - scispaCy
• 0.001 + - Paper/Hochreiter1997