Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Probability +Class imbalance +Gradient descent -Rob Schapire -Ron Meir -Simpson's paradox +Python +Probability, Paradox, and the Reasonable Person Principle -Pointwise mutual information"

Positive matches

• 0.058 + - Class imbalance problem
• 0.032 + - Neural network
• 0.022 + - Neuron
• 0.021 + - Jupyter/notebook
• 0.020 + - Probability theory
• 0.020 + - Probability distribution
• 0.018 + - Poker
• 0.016 + - Yoav Freund
• 0.014 + - Pajek
• 0.013 + - IPython
• 0.013 + - Recommender system
• 0.011 + - Lexical feature selection
• 0.010 + - SSH tunneling
• 0.010 + - Data science
• 0.008 + - Cross entropy
• 0.007 + - Gibbs' inequality
• 0.007 + - Learning
• 0.007 + - Kullback–Leibler divergence
• 0.007 + - Cross validation
• 0.007 + - Artificial neural network

Negative matches

• 0.032 + - Text analysis
• 0.002 + - Data analysis
• 0.001 + - spaCy
• 0.001 + - Convolutional neural network
• 0.001 + - Gensim
• 0.001 + - BookNLP
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Natural language processing
• 0.001 + - NLTK
• 0.001 + - String metric
• 0.001 + - Word segmentation
• 0.000 + - KenLM
• 0.000 + - Long short-term memory
• 0.000 + - Recurrent neural network
• 0.000 + - Word embedding
• 0.000 + - Biomedical natural language processing
• 0.000 + - Tomas Mikolov
• 0.000 + - Residual Learning
• 0.000 + - Topic modeling
• 0.000 + - Paper/Cooijmans2016