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) -Ron Meir +Jupyter/notebook +Probability +Probability theory -Poker -Pointwise mutual information"

Positive matches

• 0.115 + - Class imbalance
• 0.028 + - Probability distribution
• 0.027 + - Gradient descent
• 0.026 + - Recommender system
• 0.022 + - IPython notebook
• 0.021 + - Data clustering
• 0.021 + - Ulrike von Luxburg
• 0.020 + - scikit-learn
• 0.019 + - Learning
• 0.016 + - Rob Schapire
• 0.016 + - Yoav Freund
• 0.015 + - Regular expression
• 0.013 + - tfidf
• 0.012 + - Artemy Kolchinsky
• 0.012 + - IPython
• 0.012 + - Jupyter
• 0.011 + - Gensim
• 0.011 + - NLTK
• 0.010 + - Edwin Thompson Jaynes
• 0.010 + - Stochastic process

Negative matches

• 0.026 + - Information theory
• 0.017 + - Lexical feature selection
• 0.015 + - Text analysis
• 0.002 + - Data analysis
• 0.001 + - spaCy
• 0.001 + - Word segmentation
• 0.001 + - Dialog act
• 0.001 + - BookNLP
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Recurrent neural network
• 0.000 + - KenLM
• 0.000 + - Word embedding
• 0.000 + - StanfordNLP
• 0.000 + - Gibbs' inequality
• 0.000 + - word2vec
• 0.000 + - Tomas Mikolov
• 0.000 + - String metric
• 0.000 + - Biomedical natural language processing
• 0.000 + - David Feldman
• 0.000 + - David MacKay