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- Peter Norvig
- Automated machine learning
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- How to study
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Positive matches
- 0.116 + - Machine learning
- 0.048 + - IPython notebook
- 0.047 + - Probability, Paradox, and the Reasonable Person Principle
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- 0.033 + - Class imbalance problem
- 0.031 + - IPython
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- 0.013 + - Artemy Kolchinsky
- 0.009 + - 유재명
- 0.008 + - Memorization
- 0.007 + - Recommender system
- 0.007 + - Willpower
- 0.007 + - Practice
- 0.006 + - Gradient descent
- 0.004 + - Sargur Srihari
Negative matches
- 0.005 + - Industry-Academic Partnership
- 0.003 + - Interdisciplinary research
- 0.001 + - Jeannette M. Wing
- 0.001 + - https://github.com/adamzap/landslide
- 0.001 + - DTRA
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- 0.001 + - Graph theory
- 0.001 + - Kaj Sand-Jensen
- 0.001 + - George Gopen
- 0.001 + - Kevin Lafferty
- 0.001 + - Syllabus
- 0.001 + - 15 Minutes Including Q&A
- 0.001 + - Bloom's Taxonomy
- 0.001 + - Active learning
- 0.001 + - NGA
- 0.001 + - George D. Gopen
- 0.001 + - Helen Sword
- 0.001 + - Mellon Foundation
- 0.001 + - Proposal writing