Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare +Probability +Future of work -Ulrike von Luxburg +Erik Brynjolfsson -Artificial neural network"

Positive matches

• 0.114 + - Class imbalance
• 0.028 + - Recommender system
• 0.027 + - Gradient descent
• 0.026 + - Data clustering
• 0.024 + - Probability theory
• 0.024 + - Probability distribution
• 0.015 + - Learning
• 0.015 + - Boosting (machine learning)
• 0.014 + - IPython notebook
• 0.012 + - Jupyter/notebook
• 0.012 + - Tom Mitchell
• 0.012 + - Artificial intelligence
• 0.012 + - Poker
• 0.012 + - Technological unemployment
• 0.012 + - Skill gap
• 0.011 + - Privacy and Deanonymization
• 0.011 + - scikit-learn
• 0.008 + - Regex
• 0.006 + - Decision tree
• 0.006 + - Kevin Murphy

Negative matches

• 0.024 + - Brain network
• 0.018 + - Deep learning
• 0.006 + - Spatial network
• 0.006 + - Aging brain
• 0.003 + - Modular structure of brain
• 0.002 + - Network similarity
• 0.002 + - Multilayer network
• 0.002 + - Yann LeCun
• 0.002 + - Recurrent neural network
• 0.001 + - Generative adversarial network
• 0.001 + - Residual Learning
• 0.001 + - Brain and deep learning
• 0.001 + - Keras
• 0.001 + - Caenorhabditis elegans
• 0.001 + - Geoffrey Hinton
• 0.001 + - Jürgen Schmidhuber
• 0.001 + - Generative adversarial networks
• 0.000 + - Differentiable neural computers
• 0.000 + - Autoencoder
• 0.000 + - TensorFlow