Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science +Jupyter/notebook +Gradient descent +Boosting (machine learning) +scikit-learn -Class imbalance -Brain and deep learning"

Positive matches

• 0.217 + - Machine learning
• 0.037 + - Neural network
• 0.032 + - Neuron
• 0.029 + - Recommender system
• 0.027 + - IPython notebook
• 0.024 + - Ulrike von Luxburg
• 0.024 + - Decision tree
• 0.023 + - Data clustering
• 0.022 + - Poker
• 0.018 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.018 + - Rob Schapire
• 0.016 + - Random forest
• 0.016 + - IPython
• 0.016 + - tfidf
• 0.015 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.014 + - Python
• 0.013 + - Learning
• 0.012 + - Python/Modules

Negative matches

• 0.036 + - Brain
• 0.029 + - Deep learning
• 0.007 + - Beer
• 0.006 + - Meta learning
• 0.005 + - Language
• 0.003 + - Attention (Deep learning)
• 0.003 + - Residual Learning
• 0.003 + - Deep generative models
• 0.003 + - Theano
• 0.003 + - Long short-term memory
• 0.002 + - Generative adversarial network
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Sentiment analysis
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Neuroscience
• 0.002 + - Efficiency of brain
• 0.002 + - Allen Institute for Brain Science
• 0.002 + - Brain network
• 0.002 + - Geoffrey Hinton
• 0.002 + - Yoshua Bengio