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 -Recommender system +Netflix prize -scikit-learn"

Positive matches

• 0.099 + - Class imbalance
• 0.035 + - Neural network
• 0.031 + - Neuron
• 0.024 + - Ulrike von Luxburg
• 0.013 + - IPython notebook
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - Privacy and Deanonymization
• 0.010 + - Boosting (machine learning)
• 0.008 + - Deep learning
• 0.007 + - Regex
• 0.006 + - Learning
• 0.006 + - Paradox
• 0.006 + - Regular expression
• 0.006 + - Sargur Srihari
• 0.005 + - Computer science
• 0.005 + - Carlos Guestrin
• 0.004 + - Tom M. MItchell
• 0.004 + - Future of work
• 0.004 + - Training dataset

Negative matches

• 0.016 + - Decision tree
• 0.014 + - tfidf
• 0.010 + - Python
• 0.010 + - Tim Hopper
• 0.009 + - Lexical feature selection
• 0.008 + - skorch
• 0.007 + - tf-idf
• 0.006 + - Python/Modules
• 0.004 + - Random forest
• 0.002 + - Text analysis
• 0.002 + - Pointwise mutual information
• 0.001 + - PyPy
• 0.001 + - Python in Science
• 0.001 + - Python/Visualization
• 0.001 + - Javascript
• 0.001 + - Gilles Louppe
• 0.001 + - TensorFlow
• 0.000 + - Atwood's law
• 0.000 + - Information visualization
• 0.000 + - Python/Test