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 +Science policy -Data clustering +Industry-Academic Partnership +Science -Policy -Learning"

Positive matches

• 0.166 + - Machine learning
• 0.110 + - Class imbalance
• 0.051 + - Interdisciplinary research
• 0.024 + - Ulrike von Luxburg
• 0.023 + - Research funding
• 0.022 + - Gradient descent
• 0.019 + - Recommender system
• 0.013 + - Bookshelf
• 0.013 + - IPython notebook
• 0.012 + - Poker
• 0.011 + - Jupyter/notebook
• 0.009 + - Boosting (machine learning)
• 0.009 + - Software engineering
• 0.008 + - Migration
• 0.008 + - scikit-learn
• 0.007 + - Data mining
• 0.007 + - Privacy and Deanonymization
• 0.007 + - Programming interview
• 0.006 + - Social computing
• 0.006 + - Future of work

Negative matches

• 0.036 + - Public health policy
• 0.018 + - Michael Ramscar
• 0.017 + - How to study
• 0.011 + - Deep learning
• 0.002 + - Keras
• 0.002 + - Practice
• 0.002 + - Yoshua Bengio
• 0.002 + - word2vec
• 0.002 + - Opioid crisis
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Autoencoder
• 0.002 + - Thermostat
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Generative adversarial network
• 0.002 + - Residual Learning
• 0.001 + - Residual leanrning
• 0.001 + - Differentiable neural computers
• 0.001 + - Python#Modules_.26_Libraries