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 -Data clustering +Jupyter/notebook +Future of work -Erik Brynjolfsson -Paradox -Artificial neural network"

Positive matches

• 0.105 + - Class imbalance
• 0.026 + - Recommender system
• 0.025 + - IPython notebook
• 0.024 + - Gradient descent
• 0.024 + - Ulrike von Luxburg
• 0.021 + - Poker
• 0.014 + - Artemy Kolchinsky
• 0.013 + - Jupyter
• 0.013 + - IPython
• 0.013 + - Learning
• 0.013 + - Privacy and Deanonymization
• 0.011 + - Tom Mitchell
• 0.011 + - Artificial intelligence
• 0.011 + - Technological unemployment
• 0.011 + - Skill gap
• 0.010 + - scikit-learn
• 0.009 + - Boosting (machine learning)
• 0.008 + - Data science
• 0.008 + - Regex
• 0.007 + - Regular expression

Negative matches

• 0.033 + - Simpson's paradox
• 0.022 + - Brain network
• 0.015 + - Deep learning
• 0.007 + - Spatial network
• 0.004 + - Aging brain
• 0.003 + - Network similarity
• 0.002 + - Modular structure of brain
• 0.002 + - Autoencoder
• 0.002 + - Yann LeCun
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Convolutional neural network
• 0.002 + - Multilayer network
• 0.001 + - Recurrent neural network
• 0.001 + - Generative adversarial network
• 0.001 + - Residual Learning
• 0.001 + - Caenorhabditis elegans
• 0.001 + - Differentiable neural computers
• 0.001 + - TensorFlow
• 0.001 + - Paper/Vincent2010
• 0.000 + - Neural doodle