Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Gradient descent +One-shot learning +Neuron +Artificial neural network +Image completion +Generative adversarial network -Beer"

Positive matches

• 0.094 + - Neural network
• 0.063 + - Generative adversarial networks
• 0.026 + - Paradox
• 0.021 + - Brain network
• 0.019 + - Recommender system
• 0.018 + - Probability
• 0.012 + - Deep learning
• 0.012 + - IPython notebook
• 0.011 + - Jupyter/notebook
• 0.010 + - Probability, Paradox, and the Reasonable Person Principle
• 0.009 + - Boosting (machine learning)
• 0.009 + - Learning
• 0.008 + - Future of work
• 0.008 + - Decision tree
• 0.007 + - Weka
• 0.007 + - Naive Bayes classifier
• 0.007 + - Privacy and Deanonymization
• 0.007 + - Dimensionality reduction
• 0.007 + - Python#Modules_.26_Libraries
• 0.007 + - Tom M. MItchell

Negative matches

• 0.016 + - Andy Connelly
• 0.016 + - Trappist beer
• 0.016 + - Food
• 0.014 + - Cheese
• 0.012 + - Bread
• 0.011 + - Cinder toffee
• 0.003 + - Cake
• 0.001 + - Geoffrey Hinton
• 0.001 + - Diet
• 0.001 + - Brain
• 0.001 + - Wine pairing
• 0.000 + - Catching Fire: How Cooking Made Us Human
• 0.000 + - Neuroscience
• 0.000 + - Variational Autoencoder