Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Gradient descent +Probability, Paradox, and the Reasonable Person Principle -Naive Bayes classifier +Stability selection +Image completion +Generative adversarial network +Jupyter/notebook +Artificial neural network -Meta learning"

Positive matches

• 0.055 + - Generative adversarial networks
• 0.042 + - Probability
• 0.040 + - Paradox
• 0.030 + - Neural network
• 0.023 + - Neuron
• 0.021 + - IPython notebook
• 0.019 + - Brain network
• 0.018 + - Recommender system
• 0.013 + - IPython
• 0.013 + - Artemy Kolchinsky
• 0.012 + - Jupyter
• 0.011 + - Learning
• 0.007 + - scikit-learn
• 0.007 + - Aging brain
• 0.006 + - Regular expression
• 0.006 + - Neural doodle
• 0.006 + - Future of work
• 0.006 + - Tom M. MItchell
• 0.006 + - Cluster analysis
• 0.006 + - Michael I. Jordan

Negative matches

• 0.027 + - Reinforcement learning
• 0.013 + - Q-learning
• 0.012 + - Evolution strategy
• 0.011 + - Modeling animal behaviors with reinforcement learning
• 0.005 + - Deep learning
• 0.001 + - Natural language processing
• 0.001 + - Dialog act
• 0.001 + - Ilya Sutskever
• 0.000 + - Latent Dirichlet allocation
• 0.000 + - Brain
• 0.000 + - Molecular dyanmics
• 0.000 + - Google