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 +IPython +Skill gap -Deep learning"

Positive matches

• 0.224 + - Machine learning
• 0.109 + - Class imbalance
• 0.031 + - Netflix prize
• 0.031 + - IPython notebook
• 0.023 + - Python/Modules
• 0.021 + - Gradient descent
• 0.021 + - Python
• 0.021 + - Brain network
• 0.016 + - Poker
• 0.013 + - Boosting (machine learning)
• 0.012 + - Learning
• 0.012 + - James Bessen
• 0.012 + - Peter Cappelli
• 0.012 + - Andrew Weaver
• 0.011 + - Jupyter/notebook
• 0.010 + - Tom Mitchell
• 0.010 + - Artificial intelligence
• 0.010 + - Technological unemployment
• 0.010 + - Heidi Shierholz
• 0.010 + - Paul Krugman

Negative matches

• 0.017 + - Language
• 0.006 + - Amazon EC2
• 0.004 + - Residual leanrning
• 0.004 + - Probability
• 0.004 + - LSTM
• 0.003 + - Paper/Hochreiter1997
• 0.003 + - Evolution strategy
• 0.002 + - Attention
• 0.002 + - Keras
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Beer
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Theano
• 0.002 + - Geoffrey Hinton
• 0.002 + - Paper/Gatys2015
• 0.002 + - Dropout
• 0.002 + - Convolutional neural network
• 0.002 + - Sentiment analysis
• 0.002 + - TensorFlow