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 -Machine learning"

Positive matches

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

Negative matches

• 0.002 + - Stability selection
• 0.002 + - Jeff Atwood
• 0.002 + - jQuery
• 0.002 + - Ron Meir
• 0.002 + - D3
• 0.002 + - David MacKay
• 0.002 + - Yoshua Bengio
• 0.002 + - Isomap
• 0.002 + - Atwood's law
• 0.002 + - Deep learning and graphs
• 0.002 + - Deep generative models
• 0.002 + - Yoav Freund
• 0.002 + - PCA
• 0.002 + - Rob Schapire
• 0.001 + - word2vec
• 0.001 + - Cross entropy
• 0.001 + - Keras
• 0.001 + - t-SNE
• 0.001 + - Information Theory, Inference, and Learning Algorithms
• 0.001 + - Brain and deep learning