Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science -Ulrike von Luxburg +Future of work +Poker +Recommender system -Data clustering -Learning"

Positive matches

• 0.213 + - Machine learning
• 0.114 + - Class imbalance
• 0.036 + - Netflix prize
• 0.030 + - Gradient descent
• 0.013 + - IPython notebook
• 0.013 + - Bookshelf
• 0.012 + - Jupyter/notebook
• 0.012 + - Erik Brynjolfsson
• 0.012 + - Tom Mitchell
• 0.012 + - Technological unemployment
• 0.012 + - Skill gap
• 0.012 + - Artificial intelligence
• 0.012 + - Boosting (machine learning)
• 0.008 + - Random forest
• 0.007 + - Regular expression
• 0.007 + - Privacy and Deanonymization
• 0.007 + - Image completion
• 0.006 + - Naive Bayes classifier
• 0.006 + - Carlos Guestrin
• 0.006 + - Artificial neural network

Negative matches

• 0.018 + - Michael Ramscar
• 0.016 + - How to study
• 0.014 + - Deep learning
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Convolutional neural network
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Residual Learning
• 0.002 + - Brain and deep learning
• 0.002 + - Yoshua Bengio
• 0.002 + - Residual leanrning
• 0.002 + - TensorFlow
• 0.002 + - Generative adversarial network
• 0.001 + - Differentiable neural computers
• 0.001 + - Keras
• 0.001 + - Variational Autoencoder
• 0.000 + - Recurrent neural network
• 0.000 + - Probability