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 +Probability +IPython notebook +Jupyter/notebook +tfidf -Gensim"

Positive matches

• 0.208 + - Machine learning
• 0.025 + - Poker
• 0.023 + - IPython
• 0.021 + - Gradient descent
• 0.021 + - Text analysis
• 0.020 + - Data clustering
• 0.020 + - Probability theory
• 0.020 + - Probability distribution
• 0.020 + - Python
• 0.016 + - Pointwise mutual information
• 0.016 + - Learning
• 0.015 + - SSH tunneling
• 0.015 + - Random forest
• 0.014 + - NLTK
• 0.014 + - Bookshelf
• 0.014 + - Recommender system
• 0.014 + - SSH
• 0.013 + - Boosting (machine learning)
• 0.013 + - Artemy Kolchinsky
• 0.012 + - Jupyter

Negative matches

• 0.029 + - word2vec
• 0.003 + - Hierarchical softmax
• 0.001 + - Graph embedding
• 0.001 + - GloVe
• 0.001 + - Clinical concept embedding
• 0.001 + - WordRank
• 0.001 + - Softmax function
• 0.001 + - Network geometry
• 0.001 + - Chris McCormick
• 0.001 + - Continuous embedding
• 0.001 + - Gender bias
• 0.001 + - Word embedding
• 0.001 + - sense2vec
• 0.001 + - Omer Levy
• 0.001 + - Finkbeiner test
• 0.000 + - Dan Jurafsky
• 0.000 + - Sentence embedding
• 0.000 + - Paper/Levy2014
• 0.000 + - Manic Pixie Dream Girl
• 0.000 + - Paper/Hamilton2016