Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science -Ulrike von Luxburg +Class imbalance +scikit-learn +tf-idf +PyTorch +Gensim -Python/Modules"

Positive matches

• 0.215 + - Machine learning
• 0.057 + - tfidf
• 0.044 + - skorch
• 0.038 + - Decision tree
• 0.036 + - Lexical feature selection
• 0.035 + - word2vec
• 0.033 + - PyTorch-BigGraph
• 0.030 + - Text analysis
• 0.022 + - Data clustering
• 0.022 + - Gradient descent
• 0.021 + - Pointwise mutual information
• 0.020 + - Recommender system
• 0.017 + - Random forest
• 0.015 + - NLTK
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - Tim Hopper
• 0.010 + - Deep learning
• 0.010 + - Bookshelf
• 0.010 + - Boosting (machine learning)

Negative matches

• 0.008 + - Python/Beautiful soup
• 0.007 + - Python/Flask
• 0.004 + - Python/Sphinx
• 0.004 + - Python/Packaging
• 0.003 + - Beautiful soup (Python)
• 0.003 + - Tox
• 0.003 + - Python/nose
• 0.003 + - pip
• 0.003 + - SQLAlchemy
• 0.003 + - Tweepy
• 0.003 + - numpy
• 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