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 +Paradox +Recommender system +Jupyter/notebook -Learning"

Positive matches

• 0.198 + - Machine learning
• 0.112 + - Class imbalance
• 0.033 + - Public health policy
• 0.033 + - Netflix prize
• 0.033 + - Simpson's paradox
• 0.027 + - Science
• 0.027 + - IPython notebook
• 0.027 + - Interdisciplinary research
• 0.024 + - Research funding
• 0.023 + - Gradient descent
• 0.022 + - Data clustering
• 0.022 + - Poker
• 0.014 + - Artemy Kolchinsky
• 0.014 + - Future of work
• 0.014 + - IPython
• 0.014 + - Jupyter
• 0.011 + - Industry-Academic Partnership
• 0.010 + - Boosting (machine learning)
• 0.010 + - Bookshelf
• 0.009 + - Data science

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