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 +Gradient descent -EM algorithm -Ulrike von Luxburg +Decision tree -Learning"

Positive matches

• 0.127 + - Class imbalance
• 0.038 + - Random forest
• 0.036 + - Neural network
• 0.033 + - Neuron
• 0.031 + - Recommender system
• 0.015 + - Future of work
• 0.015 + - Boosting (machine learning)
• 0.014 + - Privacy and Deanonymization
• 0.013 + - scikit-learn
• 0.013 + - IPython notebook
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.010 + - Regular expression
• 0.008 + - Regex
• 0.006 + - Artificial neural network
• 0.005 + - Image completion
• 0.005 + - Training dataset
• 0.005 + - Computer science
• 0.005 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.005 + - Carlos Guestrin

Negative matches

• 0.017 + - How to study
• 0.017 + - Michael Ramscar
• 0.008 + - Deep learning
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Autoencoder
• 0.002 + - Thermostat
• 0.002 + - word2vec
• 0.002 + - Keras
• 0.002 + - Memorization
• 0.002 + - Practice
• 0.002 + - Convolutional neural network
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Jürgen Schmidhuber
• 0.001 + - Generative adversarial network
• 0.001 + - Residual Learning
• 0.001 + - Research advices
• 0.001 + - Residual leanrning