Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Artificial neural network +Data clustering +Boosting (machine learning) +Ron Meir +Jupyter/notebook +Class imbalance -Rob Schapire +scikit-learn -Deep learning"

Positive matches

• 0.242 + - Machine learning
• 0.024 + - IPython notebook
• 0.023 + - Gradient descent
• 0.023 + - Decision tree
• 0.021 + - Recommender system
• 0.021 + - Ulrike von Luxburg
• 0.019 + - Brain network
• 0.018 + - Poker
• 0.016 + - Yoav Freund
• 0.014 + - tfidf
• 0.014 + - IPython
• 0.013 + - Artemy Kolchinsky
• 0.013 + - Random forest
• 0.013 + - Jupyter
• 0.012 + - Python/Modules
• 0.011 + - Future of work
• 0.010 + - SSH tunneling
• 0.010 + - skorch
• 0.010 + - Python
• 0.010 + - Learning

Negative matches

• 0.017 + - Language
• 0.006 + - Amazon EC2
• 0.005 + - Residual leanrning
• 0.004 + - Attention
• 0.003 + - Probability
• 0.003 + - Q-learning
• 0.003 + - Reinforcement learning
• 0.002 + - Amazon Web Services
• 0.002 + - Evolution strategy
• 0.002 + - LSTM
• 0.002 + - Dropout
• 0.002 + - Deep learning and graphs
• 0.002 + - Keras
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Long short-term memory
• 0.002 + - Theano
• 0.002 + - Geoffrey Hinton
• 0.002 + - Paper/Gatys2015
• 0.002 + - Convolutional neural network
• 0.002 + - Beer