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 -Regular expression"

Positive matches

• 0.151 + - Class imbalance
• 0.037 + - Netflix prize
• 0.036 + - Gradient descent
• 0.030 + - Text analysis
• 0.027 + - scikit-learn
• 0.026 + - Data clustering
• 0.025 + - Ulrike von Luxburg
• 0.020 + - Yoav Freund
• 0.020 + - Rob Schapire
• 0.019 + - Learning
• 0.017 + - Future of work
• 0.017 + - Privacy and Deanonymization
• 0.014 + - Lexical feature selection
• 0.014 + - tfidf
• 0.014 + - IPython notebook
• 0.014 + - NLTK
• 0.014 + - Gensim
• 0.013 + - Pointwise mutual information
• 0.012 + - Poker
• 0.012 + - Jupyter/notebook

Negative matches

• 0.012 + - Prime number
• 0.012 + - HTML
• 0.012 + - Web mining
• 0.006 + - Javascript
• 0.004 + - Regex
• 0.002 + - Jeff Atwood
• 0.002 + - Closure tools
• 0.002 + - Anemone
• 0.002 + - Nokogiri
• 0.002 + - https://developer.mozilla.org/en/JavaScript/Guide
• 0.002 + - Ruby
• 0.002 + - Atwood's law
• 0.001 + - Python/Packaging
• 0.000 + - CoffeeScript