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 -Data clustering +Gradient descent -EM algorithm +scikit-learn +Ulrike von Luxburg +Decision tree -tfidf"

Positive matches

• 0.121 + - Class imbalance
• 0.044 + - Random forest
• 0.034 + - Neural network
• 0.029 + - Neuron
• 0.024 + - Recommender system
• 0.016 + - Learning
• 0.015 + - Boosting (machine learning)
• 0.015 + - Python/Modules
• 0.013 + - Future of work
• 0.012 + - Regular expression
• 0.012 + - Privacy and Deanonymization
• 0.010 + - Poker
• 0.010 + - Jupyter/notebook
• 0.009 + - skorch
• 0.009 + - Tim Hopper
• 0.009 + - Regex
• 0.009 + - IPython notebook
• 0.009 + - Python
• 0.007 + - Deep learning
• 0.006 + - Naive Bayes classifier

Negative matches

• 0.051 + - tf-idf
• 0.003 + - Probability
• 0.002 + - Gensim
• 0.002 + - NLTK
• 0.000 + - Pipenv
• 0.000 + - Continuous embedding
• 0.000 + - wiki2vec
• 0.000 + - Paper/Perozzi2014
• 0.000 + - RPython
• 0.000 + - Paper/Levy2014
• 0.000 + - Chris McCormick
• 0.000 + - Python/Visualization
• 0.000 + - Skip-gram
• 0.000 + - programming language
• 0.000 + - David Goodger