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 +Public health policy +Boosting (machine learning) -Machine learning"

Positive matches

• 0.110 + - Class imbalance
• 0.035 + - Opioid crisis
• 0.027 + - Science
• 0.027 + - Interdisciplinary research
• 0.024 + - Research funding
• 0.023 + - Gradient descent
• 0.023 + - Decision tree
• 0.021 + - Data clustering
• 0.020 + - Recommender system
• 0.015 + - Rob Schapire
• 0.015 + - Ron Meir
• 0.015 + - Yoav Freund
• 0.014 + - tfidf
• 0.013 + - Random forest
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - Industry-Academic Partnership
• 0.011 + - Python/Modules
• 0.010 + - Bookshelf
• 0.010 + - IPython notebook

Negative matches

• 0.002 + - Netflix prize
• 0.002 + - word2vec
• 0.002 + - Cross entropy
• 0.002 + - UMAP
• 0.002 + - Keras
• 0.002 + - t-SNE
• 0.002 + - Deep learning and graphs
• 0.002 + - Information Theory, Inference, and Learning Algorithms
• 0.002 + - Quoc Le
• 0.002 + - David MacKay
• 0.001 + - Brain and deep learning
• 0.001 + - Deep generative models
• 0.001 + - Isomap
• 0.001 + - David Feldman
• 0.001 + - Graph matching
• 0.001 + - Neural doodle
• 0.001 + - jQuery
• 0.001 + - D3
• 0.001 + - Stability selection
• 0.001 + - Jeff Atwood