Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Simpson's paradox +David Feldman +Recommender system +Rob Schapire +IPython -Lexical feature selection"

Positive matches

• 0.069 + - Probability, Paradox, and the Reasonable Person Principle
• 0.042 + - Class imbalance problem
• 0.039 + - Python
• 0.039 + - Class imbalance
• 0.036 + - Poker
• 0.035 + - Netflix prize
• 0.029 + - Probability
• 0.027 + - SSH tunneling
• 0.026 + - Python/Modules
• 0.018 + - Data science
• 0.018 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.015 + - Gradient descent
• 0.015 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.011 + - Learning
• 0.010 + - Future of work
• 0.010 + - Cross entropy
• 0.010 + - Privacy and Deanonymization
• 0.009 + - David MacKay

Negative matches

• 0.022 + - Data analysis
• 0.016 + - Natural language processing
• 0.014 + - tf-idf
• 0.011 + - Text analysis
• 0.008 + - Pointwise mutual information
• 0.005 + - Biomedical natural language processing
• 0.004 + - NLP
• 0.003 + - CNN
• 0.003 + - StanfordNLP
• 0.002 + - Convolutional neural network
• 0.002 + - BookNLP
• 0.002 + - NLTK
• 0.001 + - String metric
• 0.001 + - Gensim
• 0.001 + - Word segmentation
• 0.001 + - scispaCy
• 0.001 + - KenLM
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - KoNLPy
• 0.001 + - fastText