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 +Artemy Kolchinsky +Ulrike von Luxburg +Gradient descent -Artificial neural network"

Positive matches

• 0.107 + - Class imbalance
• 0.035 + - Neural network
• 0.033 + - Neuron
• 0.026 + - IPython notebook
• 0.023 + - Recommender system
• 0.022 + - Poker
• 0.014 + - Jupyter
• 0.013 + - IPython
• 0.012 + - Privacy and Deanonymization
• 0.012 + - Learning
• 0.012 + - Future of work
• 0.010 + - scikit-learn
• 0.008 + - Boosting (machine learning)
• 0.008 + - SSH tunneling
• 0.007 + - Regex
• 0.007 + - Regular expression
• 0.006 + - Data science
• 0.006 + - Decision tree
• 0.006 + - Random forest
• 0.006 + - Python

Negative matches

• 0.022 + - Brain network
• 0.014 + - Deep learning
• 0.007 + - Spatial network
• 0.004 + - Aging brain
• 0.003 + - Network similarity
• 0.002 + - Thermostat
• 0.002 + - Autoencoder
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Geoffrey Hinton
• 0.002 + - Quoc Le
• 0.002 + - Keras
• 0.002 + - Modular structure of brain
• 0.002 + - Yann LeCun
• 0.001 + - Convolutional neural network
• 0.001 + - Multilayer network
• 0.001 + - Generative adversarial network
• 0.001 + - Residual Learning
• 0.001 + - Brain and deep learning
• 0.001 + - Caenorhabditis elegans
• 0.001 + - Molecular dyanmics