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) +Learning +Gensim +scikit-learn -Yoav Freund -Python/Modules"

Positive matches

• 0.116 + - Class imbalance
• 0.044 + - tfidf
• 0.034 + - word2vec
• 0.027 + - Gradient descent
• 0.027 + - Text analysis
• 0.026 + - Recommender system
• 0.026 + - Lexical feature selection
• 0.023 + - Decision tree
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.022 + - Pointwise mutual information
• 0.021 + - Deep learning
• 0.017 + - Ron Meir
• 0.017 + - Rob Schapire
• 0.016 + - How to study
• 0.016 + - Michael Ramscar
• 0.015 + - Random forest
• 0.014 + - PyTorch
• 0.013 + - Future of work
• 0.013 + - NLTK

Negative matches

• 0.005 + - Beautiful soup (Python)
• 0.005 + - Python/Beautiful soup
• 0.004 + - Python/Test
• 0.004 + - PyPrind
• 0.003 + - Probability
• 0.003 + - Tox
• 0.003 + - Python/nose
• 0.003 + - pip
• 0.003 + - SQLAlchemy
• 0.003 + - Tweepy
• 0.003 + - Geocoding libraries
• 0.003 + - StatsModel
• 0.003 + - matplotlib
• 0.003 + - Python/multiprocessing
• 0.003 + - SciPy
• 0.003 + - Web mining
• 0.003 + - execnet
• 0.003 + - Web application framework
• 0.003 + - Parallel computing
• 0.003 + - numpy