Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +Deep learning +Residual leanrning +Gradient descent +Residual Learning +scikit-learn -Language"

Positive matches

• 0.031 + - Neural network
• 0.029 + - Neuron
• 0.028 + - Meta learning
• 0.026 + - Paradox
• 0.023 + - Convolutional neural network
• 0.023 + - Decision tree
• 0.018 + - Pajek
• 0.017 + - Probability
• 0.017 + - Learning
• 0.015 + - Artificial neural network
• 0.015 + - IPython notebook
• 0.013 + - Random forest
• 0.012 + - Python/Modules
• 0.012 + - tfidf
• 0.012 + - Jupyter/notebook
• 0.012 + - PyTorch
• 0.011 + - tf-idf
• 0.010 + - Probability, Paradox, and the Reasonable Person Principle
• 0.010 + - skorch
• 0.009 + - Tim Hopper

Negative matches

• 0.004 + - Metaphor
• 0.004 + - Linguistic relativity
• 0.004 + - Language detection
• 0.004 + - WALS
• 0.004 + - Language of thought
• 0.004 + - English language
• 0.004 + - Linguistic network
• 0.004 + - Zipf's law
• 0.004 + - Language development
• 0.004 + - Home
• 0.004 + - Happinness
• 0.004 + - Linguistic diversity
• 0.004 + - Evolution of language
• 0.002 + - Convolutional Neural Network
• 0.002 + - Power law
• 0.001 + - Allometry
• 0.000 + - Urbanization
• 0.000 + - Machine translation