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 +Science policy +Policy +scikit-learn +Random forest +Gilles Louppe -Learning"

Positive matches

• 0.181 + - Machine learning
• 0.108 + - Class imbalance
• 0.033 + - Public health policy
• 0.033 + - Decision tree
• 0.027 + - Science
• 0.026 + - Interdisciplinary research
• 0.026 + - Gradient descent
• 0.024 + - Research funding
• 0.022 + - Data clustering
• 0.022 + - Recommender system
• 0.019 + - tf-idf
• 0.017 + - tfidf
• 0.015 + - skorch
• 0.012 + - Python/Modules
• 0.011 + - Python
• 0.011 + - Bookshelf
• 0.011 + - Lexical feature selection
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - Industry-Academic Partnership

Negative matches

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