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 +Ulrike von Luxburg +Jupyter/notebook +Andrew Ng +Artemy Kolchinsky -Deep learning"

Positive matches

• 0.245 + - Machine learning
• 0.120 + - Class imbalance
• 0.026 + - IPython notebook
• 0.024 + - Gradient descent
• 0.024 + - Brain network
• 0.023 + - Recommender system
• 0.022 + - Poker
• 0.016 + - IPython
• 0.014 + - Jupyter
• 0.010 + - SSH tunneling
• 0.010 + - Boosting (machine learning)
• 0.009 + - Learning
• 0.008 + - scikit-learn
• 0.007 + - Paradox
• 0.006 + - Spatial network
• 0.006 + - Aging brain
• 0.006 + - Privacy and Deanonymization
• 0.004 + - SSH
• 0.004 + - Future of work
• 0.004 + - Regular expression

Negative matches

• 0.029 + - Language
• 0.005 + - Residual leanrning
• 0.005 + - Amazon EC2
• 0.004 + - Archetype
• 0.004 + - Attention
• 0.003 + - Reinforcement learning
• 0.002 + - Q-learning
• 0.002 + - Machine translation
• 0.002 + - Beer
• 0.002 + - Natural language processing
• 0.002 + - Thermostat
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Quoc Le
• 0.002 + - Sentiment analysis
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Theano
• 0.002 + - Paper/Gatys2015
• 0.002 + - Convolutional neural network
• 0.002 + - Attention (Deep learning)