Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin -Probability, Paradox, and the Reasonable Person Principle +Weka +Probability +Training dataset +Paradox +Artificial neural network +Jupyter/notebook -Deep learning"

Positive matches

• 0.102 + - Class imbalance
• 0.033 + - Simpson's paradox
• 0.025 + - IPython notebook
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.022 + - Poker
• 0.021 + - Brain network
• 0.017 + - Gradient descent
• 0.016 + - IPython
• 0.014 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.011 + - Recommender system
• 0.010 + - Boosting (machine learning)
• 0.008 + - Learning
• 0.007 + - SSH tunneling
• 0.007 + - scikit-learn
• 0.007 + - Future of work
• 0.006 + - Spatial network
• 0.006 + - Privacy and Deanonymization
• 0.006 + - Aging brain

Negative matches

• 0.022 + - Language
• 0.009 + - Residual leanrning
• 0.004 + - Amazon EC2
• 0.004 + - Reinforcement learning
• 0.003 + - Q-learning
• 0.002 + - RNN
• 0.002 + - Machine translation
• 0.002 + - Beer
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Generative adversarial networks
• 0.002 + - Long short-term memory
• 0.002 + - word2vec
• 0.002 + - Neural doodle
• 0.002 + - Paper/Gatys2015
• 0.002 + - Dropout
• 0.002 + - Sentiment analysis
• 0.002 + - Attention (Deep learning)
• 0.002 + - Meta learning
• 0.002 + - Archetype