Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare +tf-idf +Boosting (machine learning) -Ron Meir +Jupyter/notebook -Class imbalance -Gradient descent"

Positive matches

• 0.029 + - Recommender system
• 0.025 + - Text analysis
• 0.025 + - scikit-learn
• 0.024 + - Data clustering
• 0.024 + - Ulrike von Luxburg
• 0.023 + - IPython notebook
• 0.020 + - Poker
• 0.018 + - Yoav Freund
• 0.018 + - Rob Schapire
• 0.016 + - Pointwise mutual information
• 0.015 + - Privacy and Deanonymization
• 0.014 + - Learning
• 0.014 + - Artemy Kolchinsky
• 0.014 + - IPython
• 0.014 + - Jupyter
• 0.013 + - Lexical feature selection
• 0.013 + - tfidf
• 0.013 + - NLTK
• 0.013 + - Gensim
• 0.011 + - Regular expression

Negative matches

• 0.032 + - Neural network
• 0.029 + - Neuron
• 0.002 + - Neural Turing machine
• 0.002 + - Jack Terwilliger
• 0.001 + - Recurrent neural network
• 0.001 + - Liquid state machine
• 0.001 + - Stability selection
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Attention (Deep learning)
• 0.000 + - WordRank
• 0.000 + - Ilya Sutskever