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 +Boosting (machine learning) -Ron Meir +Policy -Machine learning"

Positive matches

• 0.109 + - Class imbalance
• 0.094 + - Science
• 0.047 + - Interdisciplinary research
• 0.033 + - Public health policy
• 0.024 + - Research funding
• 0.023 + - Gradient descent
• 0.021 + - Ulrike von Luxburg
• 0.019 + - Recommender system
• 0.015 + - Rob Schapire
• 0.015 + - Yoav Freund
• 0.011 + - IPython notebook
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.010 + - Bookshelf
• 0.008 + - Privacy and Deanonymization
• 0.008 + - Learning
• 0.007 + - Programming interview
• 0.006 + - Deep learning
• 0.006 + - Data science
• 0.006 + - Paradox

Negative matches

• 0.002 + - Stability selection
• 0.002 + - Javascript
• 0.002 + - Information Theory, Inference, and Learning Algorithms
• 0.002 + - Quoc Le
• 0.002 + - David MacKay
• 0.002 + - UMAP
• 0.002 + - Netflix prize
• 0.002 + - Deep generative models
• 0.002 + - Isomap
• 0.001 + - Python
• 0.001 + - David Feldman
• 0.001 + - Tim Hopper
• 0.001 + - Marc'Aurelio Ranzato
• 0.001 + - Neural doodle
• 0.001 + - Leland McInnes
• 0.001 + - Cross entropy
• 0.001 + - jQuery
• 0.001 + - t-SNE
• 0.001 + - D3
• 0.001 + - Keras