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 +Recommender system +Future of work -Erik Brynjolfsson +Netflix prize -Deep learning"

Positive matches

• 0.233 + - Machine learning
• 0.119 + - Class imbalance
• 0.025 + - Gradient descent
• 0.021 + - Brain network
• 0.015 + - Boosting (machine learning)
• 0.011 + - Learning
• 0.011 + - Tom Mitchell
• 0.011 + - Artificial intelligence
• 0.011 + - Poker
• 0.011 + - Technological unemployment
• 0.011 + - Jupyter/notebook
• 0.011 + - Skill gap
• 0.010 + - IPython notebook
• 0.009 + - Privacy and Deanonymization
• 0.008 + - scikit-learn
• 0.007 + - Spatial network
• 0.006 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.006 + - Python#Modules_.26_Libraries
• 0.006 + - Aging brain
• 0.005 + - EM algorithm

Negative matches

• 0.021 + - Language
• 0.007 + - Residual leanrning
• 0.005 + - Amazon EC2
• 0.005 + - Reinforcement learning
• 0.003 + - Q-learning
• 0.003 + - RNN
• 0.002 + - Machine translation
• 0.002 + - Beer
• 0.002 + - Natural language processing
• 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 + - Theano
• 0.002 + - Paper/Gatys2015
• 0.002 + - Deep generative models
• 0.002 + - Dropout
• 0.002 + - Sentiment analysis
• 0.002 + - Attention (Deep learning)