Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook -Class imbalance -Probability, Paradox, and the Reasonable Person Principle +Cross entropy -Yoav Freund +Data science +Lexical feature selection +Gradient descent -Natural language processing"

Positive matches

• 0.039 + - Pointwise mutual information
• 0.031 + - Simpson's paradox
• 0.031 + - Neural network
• 0.028 + - Neuron
• 0.026 + - Computational social science
• 0.022 + - Jupyter/notebook
• 0.019 + - Poker
• 0.018 + - Data analysis
• 0.017 + - Ron Meir
• 0.017 + - tf-idf
• 0.015 + - Text analysis
• 0.015 + - Rob Schapire
• 0.013 + - SSH tunneling
• 0.013 + - IPython
• 0.011 + - Python
• 0.010 + - Industry-Academic Partnership
• 0.010 + - Information Theory, Inference, and Learning Algorithms
• 0.010 + - David Feldman
• 0.009 + - David MacKay
• 0.008 + - Gibbs' inequality

Negative matches

• 0.014 + - CNN
• 0.008 + - Residual Learning
• 0.005 + - Residual leanrning
• 0.003 + - Probability
• 0.003 + - RNN
• 0.003 + - Class imbalance problem
• 0.002 + - BERT
• 0.002 + - String metric
• 0.002 + - fastText
• 0.002 + - Kyunghyun Cho
• 0.002 + - Word segmentation
• 0.002 + - KoNLPy
• 0.002 + - spaCy
• 0.002 + - Sentiment analysis
• 0.002 + - Differentiable neural computers
• 0.002 + - Musical composition
• 0.002 + - Attention (Deep learning)
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Word embedding
• 0.001 + - Christopher D. Manning