Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +Machine learning for physical sciences +Recommender system +Gradient descent +IPython notebook -Artificial neural network"

Positive matches

• 0.035 + - Netflix prize
• 0.034 + - Neural network
• 0.032 + - Neuron
• 0.027 + - Probability
• 0.026 + - Paradox
• 0.024 + - Jupyter/notebook
• 0.022 + - Probability, Paradox, and the Reasonable Person Principle
• 0.018 + - Pajek
• 0.014 + - IPython
• 0.013 + - Data science
• 0.013 + - SSH tunneling
• 0.013 + - Learning
• 0.012 + - Future of work
• 0.009 + - Cross validation
• 0.009 + - Tom M. MItchell
• 0.009 + - Image completion
• 0.009 + - Training dataset
• 0.009 + - Cluster analysis
• 0.008 + - Privacy and Deanonymization
• 0.008 + - Decision tree

Negative matches

• 0.048 + - Deep learning
• 0.022 + - Brain network
• 0.007 + - Spatial network
• 0.004 + - Aging brain
• 0.003 + - Network similarity
• 0.002 + - Autoencoder
• 0.002 + - Thermostat
• 0.002 + - Quoc Le
• 0.002 + - Modular structure of brain
• 0.002 + - Yann LeCun
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Residual Learning
• 0.002 + - Convolutional neural network
• 0.002 + - Generative adversarial network
• 0.002 + - Multilayer network
• 0.001 + - Keras
• 0.001 + - Caenorhabditis elegans
• 0.001 + - Variational Autoencoder
• 0.001 + - Molecular dyanmics
• 0.000 + - Brain and deep learning