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 -Data clustering +Lexical feature selection +Pointwise mutual information -Gensim"

Positive matches

• 0.201 + - Machine learning
• 0.070 + - Text analysis
• 0.035 + - Information theory
• 0.026 + - Data analysis
• 0.023 + - Natural language processing
• 0.021 + - Decision tree
• 0.019 + - Gradient descent
• 0.016 + - NLTK
• 0.015 + - Recommender system
• 0.015 + - Random forest
• 0.014 + - PyTorch
• 0.011 + - Python/Modules
• 0.010 + - Python
• 0.010 + - skorch
• 0.010 + - Tim Hopper
• 0.010 + - Poker
• 0.010 + - Jupyter/notebook
• 0.010 + - IPython notebook
• 0.010 + - Bookshelf
• 0.009 + - Interdisciplinary research

Negative matches

• 0.029 + - word2vec
• 0.005 + - sense2vec
• 0.005 + - Graph embedding
• 0.003 + - wiki2vec
• 0.003 + - Probability
• 0.002 + - Hierarchical softmax
• 0.001 + - Clinical concept embedding
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Paper/Levy2014
• 0.001 + - Softmax function
• 0.001 + - Paper/Levy2014a
• 0.001 + - Skip-gram
• 0.001 + - Network geometry
• 0.001 + - Paper/Perozzi2014
• 0.001 + - Omer Levy
• 0.001 + - Gender bias
• 0.001 + - Tomas Mikolov
• 0.001 + - Jure Leskovec
• 0.001 + - Yoav Goldberg
• 0.000 + - GloVe