Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +IPython -Sargur Srihari -https:/github.com/JohnLangford/vowpal wabbit/wiki +GraphLab -Meta learning"

Positive matches

• 0.037 + - IPython notebook
• 0.025 + - Python/Modules
• 0.025 + - Probability
• 0.024 + - Paradox
• 0.024 + - Network analysis libraries
• 0.023 + - Pajek
• 0.017 + - Probability, Paradox, and the Reasonable Person Principle
• 0.013 + - Jupyter/notebook
• 0.012 + - Artificial neural network
• 0.011 + - Gradient descent
• 0.008 + - Geovisualization
• 0.008 + - Recommender system
• 0.007 + - Python/Beautiful soup
• 0.006 + - Boosting (machine learning)
• 0.006 + - SSH tunneling
• 0.006 + - Machine learning for healthcare
• 0.006 + - Image completion
• 0.006 + - Weka
• 0.006 + - Kevin Murphy
• 0.006 + - Cross validation

Negative matches

• 0.038 + - Deep learning
• 0.033 + - Reinforcement learning
• 0.017 + - Q-learning
• 0.016 + - Modeling animal behaviors with reinforcement learning
• 0.013 + - Evolution strategy
• 0.002 + - Keras
• 0.002 + - Quoc Le
• 0.002 + - Yann LeCun
• 0.001 + - Jürgen Schmidhuber
• 0.001 + - Geoffrey Hinton
• 0.001 + - word2vec
• 0.001 + - Convolutional neural network
• 0.001 + - Variational Autoencoder
• 0.000 + - spaCy
• 0.000 + - Yoshua Bengio
• 0.000 + - Generative adversarial networks
• 0.000 + - GPU
• 0.000 + - Paper/Graves2016DNC
• 0.000 + - Thermostat
• 0.000 + - Generative adversarial network