Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin -Probability, Paradox, and the Reasonable Person Principle +Weka +Probability +Training dataset -Recommender system -EM algorithm +Deep learning -Jupyter/notebook"

Positive matches

• 0.082 + - Class imbalance
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.016 + - Language
• 0.014 + - Gradient descent
• 0.009 + - Residual leanrning
• 0.007 + - Reinforcement learning
• 0.007 + - Boosting (machine learning)
• 0.006 + - scikit-learn
• 0.006 + - Learning
• 0.005 + - Paradox
• 0.005 + - Regular expression
• 0.005 + - GraphLab
• 0.004 + - Computer science
• 0.004 + - Privacy and Deanonymization
• 0.004 + - Artificial neural network
• 0.004 + - Sargur Srihari
• 0.004 + - Kevin Murphy
• 0.004 + - Amazon EC2
• 0.004 + - Deep generative models

Negative matches

• 0.032 + - Netflix prize
• 0.013 + - Jupyter
• 0.013 + - IPython
• 0.012 + - Artemy Kolchinsky
• 0.004 + - Data science
• 0.004 + - SSH
• 0.004 + - SSH tunneling
• 0.003 + - IPython notebook
• 0.002 + - Proxy
• 0.001 + - Python/CLI
• 0.001 + - Python/Beautiful soup
• 0.001 + - Progress bar
• 0.001 + - Python/Blaze
• 0.001 + - Python/Black
• 0.001 + - SSH config
• 0.001 + - Big data
• 0.001 + - Pajek
• 0.000 + - Python/Flask
• 0.000 + - d3py
• 0.000 + - Python/doit