Search "+Peter Norvig +Automated machine learning +Paradox +Jupyter/notebook -Probability, Paradox, and the Reasonable Person Principle -Poker +IPython notebook +Class imbalance problem +Jupyter +scikit-learn +Tim Hopper +Machine learning +Python +IPython +Decision tree -tf-idf"

Positive matches

• 0.092 + - Class imbalance
• 0.042 + - Travelling salesman problem
• 0.040 + - Random forest
• 0.036 + - Python/Modules
• 0.031 + - Polynote
• 0.031 + - Simpson's paradox
• 0.030 + - SSH tunneling
• 0.020 + - Pajek
• 0.019 + - Gradient descent
• 0.016 + - Data science
• 0.014 + - Artemy Kolchinsky
• 0.010 + - skorch
• 0.010 + - Python/Beautiful soup
• 0.009 + - Learning
• 0.008 + - Boosting (machine learning)
• 0.007 + - Python/Style
• 0.007 + - Geovisualization
• 0.006 + - Future of work
• 0.006 + - Privacy and Deanonymization
• 0.006 + - Python/Debugging

Negative matches

• 0.022 + - Text analysis
• 0.016 + - Pointwise mutual information
• 0.013 + - Gensim
• 0.013 + - NLTK
• 0.009 + - Lexical feature selection
• 0.004 + - Natural language processing
• 0.002 + - Probability
• 0.001 + - word2vec
• 0.001 + - Data analysis
• 0.001 + - Convolutional neural network
• 0.001 + - Continuous embedding
• 0.001 + - Skip-gram
• 0.001 + - NLP
• 0.000 + - GloVe
• 0.000 + - Paper/Levy2014a
• 0.000 + - sense2vec
• 0.000 + - Ilya Sutskever
• 0.000 + - Embedded topic model
• 0.000 + - StanfordNLP
• 0.000 + - RNN