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 -Poker +skorch -tfidf"

Positive matches

• 0.234 + - Machine learning
• 0.044 + - PyTorch
• 0.026 + - Decision tree
• 0.025 + - Gradient descent
• 0.024 + - Data clustering
• 0.023 + - Recommender system
• 0.016 + - Random forest
• 0.013 + - Python/Modules
• 0.012 + - Python
• 0.012 + - Boosting (machine learning)
• 0.012 + - Jupyter/notebook
• 0.012 + - Lexical feature selection
• 0.011 + - IPython notebook
• 0.011 + - Bookshelf
• 0.011 + - Interdisciplinary research
• 0.011 + - Tim Hopper
• 0.010 + - Learning
• 0.007 + - Privacy and Deanonymization
• 0.007 + - Programming interview
• 0.007 + - Deep learning

Negative matches

• 0.047 + - tf-idf
• 0.002 + - Gensim
• 0.001 + - word2vec
• 0.000 + - Paper/Perozzi2014
• 0.000 + - TensorFlow
• 0.000 + - Continuous embedding
• 0.000 + - RPython
• 0.000 + - Paper/Levy2014
• 0.000 + - Chris McCormick
• 0.000 + - David Goodger
• 0.000 + - Global Interpreter Lock
• 0.000 + - Python vs. R
• 0.000 + - Skip-gram
• 0.000 + - programming language
• 0.000 + - Artemy Kolchinsky
• 0.000 + - Jupyter
• 0.000 + - Ilya Sutskever
• 0.000 + - NLTK