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 +Learning +IPython +Python/Modules +Gradient descent -Deep learning"

Positive matches

• 0.238 + - Machine learning
• 0.100 + - Class imbalance
• 0.043 + - IPython notebook
• 0.032 + - Neural network
• 0.030 + - Neuron
• 0.025 + - Python
• 0.022 + - Poker
• 0.021 + - Brain network
• 0.020 + - Recommender system
• 0.018 + - SSH tunneling
• 0.016 + - How to study
• 0.016 + - Michael Ramscar
• 0.014 + - Python/Beautiful soup
• 0.014 + - Artemy Kolchinsky
• 0.013 + - Jupyter
• 0.010 + - Boosting (machine learning)
• 0.010 + - Future of work
• 0.008 + - Paradox
• 0.007 + - scikit-learn
• 0.007 + - Decision tree

Negative matches

• 0.015 + - Language
• 0.005 + - Amazon EC2
• 0.004 + - Reinforcement learning
• 0.004 + - LSTM
• 0.003 + - Paper/Hochreiter1997
• 0.003 + - Residual leanrning
• 0.003 + - Attention
• 0.003 + - Evolution strategy
• 0.003 + - Amazon Web Services
• 0.002 + - Dropout
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Theano
• 0.002 + - Geoffrey Hinton
• 0.002 + - Paper/Gatys2015
• 0.002 + - Beer
• 0.002 + - Sentiment analysis
• 0.002 + - Attention (Deep learning)
• 0.002 + - TensorFlow