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 +Poker -Class imbalance -Artificial neural network"

Positive matches

• 0.024 + - Probability theory
• 0.024 + - Probability distribution
• 0.015 + - IPython notebook
• 0.015 + - Gradient descent
• 0.013 + - Jupyter/notebook
• 0.010 + - Learning
• 0.008 + - Boosting (machine learning)
• 0.007 + - Recommender system
• 0.007 + - Future of work
• 0.006 + - Privacy and Deanonymization
• 0.003 + - Regular expression
• 0.003 + - Random forest
• 0.003 + - Regex
• 0.003 + - scikit-learn
• 0.003 + - Paradox
• 0.003 + - Python/Modules
• 0.003 + - IPython
• 0.003 + - Kevin Murphy
• 0.003 + - Javascript
• 0.002 + - Tom M. MItchell

Negative matches

• 0.058 + - Deep learning
• 0.024 + - Brain network
• 0.006 + - Spatial network
• 0.006 + - Aging brain
• 0.003 + - Modular structure of brain
• 0.002 + - Network similarity
• 0.002 + - Multilayer network
• 0.002 + - Brain and deep learning
• 0.002 + - Differentiable neural computers
• 0.002 + - Recurrent neural network
• 0.002 + - Residual Learning
• 0.002 + - Yann LeCun
• 0.001 + - Generative adversarial network
• 0.001 + - Keras
• 0.001 + - Caenorhabditis elegans
• 0.001 + - Geoffrey Hinton
• 0.001 + - Jürgen Schmidhuber
• 0.001 + - Paper/Vincent2010
• 0.001 + - Generative adversarial networks
• 0.000 + - Autoencoder