Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Artificial neural network +Data clustering +Boosting (machine learning) +Ron Meir +Deep learning +Rob Schapire -scikit-learn"

Positive matches

• 0.214 + - Machine learning
• 0.133 + - Class imbalance
• 0.030 + - Recommender system
• 0.025 + - Gradient descent
• 0.024 + - Ulrike von Luxburg
• 0.024 + - Brain network
• 0.018 + - Yoav Freund
• 0.015 + - Language
• 0.014 + - Learning
• 0.013 + - Residual leanrning
• 0.012 + - Poker
• 0.012 + - Jupyter/notebook
• 0.012 + - IPython notebook
• 0.011 + - Privacy and Deanonymization
• 0.008 + - Spatial network
• 0.008 + - Andrew Ng
• 0.008 + - Future of work
• 0.007 + - GraphLab
• 0.007 + - Regular expression
• 0.006 + - Amazon EC2

Negative matches

• 0.019 + - tfidf
• 0.010 + - Tim Hopper
• 0.010 + - tf-idf
• 0.010 + - Decision tree
• 0.010 + - Python
• 0.009 + - Python/Modules
• 0.009 + - skorch
• 0.006 + - Lexical feature selection
• 0.005 + - Random forest
• 0.004 + - PyTorch
• 0.004 + - Text analysis
• 0.003 + - Pointwise mutual information
• 0.001 + - Gilles Louppe
• 0.001 + - Weka
• 0.001 + - Python3
• 0.001 + - PyTorch-BigGraph
• 0.001 + - CPython
• 0.000 + - Tox
• 0.000 + - Data analysis
• 0.000 + - Information Theory, Inference, and Learning Algorithms