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) +Recommender system +Ron Meir +Ulrike von Luxburg -Gradient descent"

Positive matches

• 0.138 + - Class imbalance
• 0.035 + - Netflix prize
• 0.026 + - Text analysis
• 0.025 + - scikit-learn
• 0.024 + - Data clustering
• 0.020 + - Pointwise mutual information
• 0.020 + - Learning
• 0.018 + - Yoav Freund
• 0.017 + - Privacy and Deanonymization
• 0.017 + - Rob Schapire
• 0.017 + - Future of work
• 0.013 + - Lexical feature selection
• 0.013 + - tfidf
• 0.013 + - NLTK
• 0.013 + - Gensim
• 0.013 + - IPython notebook
• 0.011 + - Regular expression
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.007 + - Regex

Negative matches

• 0.032 + - Neural network
• 0.031 + - Neuron
• 0.001 + - Liquid state machine
• 0.001 + - Neural Turing machine
• 0.001 + - Jack Terwilliger
• 0.001 + - WordRank
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Ilya Sutskever
• 0.001 + - Attention (Deep learning)