Distributed Solar: The Democratizaton of Energy
Blogroll
- distributed solar and matching location to need
- In Monte Carlo We Trust
- American Association for the Advancement of Science (AAAS)
- Karl Broman
- Why "naive Bayes" is not Bayesian
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Mrooijer's Numbers R 4Us
- Musings on Quantitative Paleoecology
- Darren Wilkinson's introduction to ABC
- WEAPONS OF MATH DESTRUCTION, reviews
climate change
- Berkeley Earth Surface Temperature
- Interview with Wally Broecker
- Climate change: Evidence and causes
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH)
- The Sunlight Economy
- Exxon-Mobil statement on UNFCCC COP21
- ATTP summarizes all that stuff about Committed Warming
- "Warming Slowdown?" (part 2 of 2)
- Isaac Held's blog
- On Thomas Edison and Solar Electric Power
Archives
Jan Galkowski
Category Archives: recommender systems
The Johnson-Lindenstrauss Lemma, and the paradoxical power of random linear operators. Part 1.
Updated, 2018-12-04 I’ll be discussing the ramifications of: William B. Johnson and Joram Lindenstrauss, “Extensions of Lipschitz mappings into a Hilbert space, Contemporary Mathematics, 26:189–206, 1984. for several posts here. Some introduction and links to proofs and explications will be … Continue reading
Posted in clustering, data science, dimension reduction, information theoretic statistics, Johnson-Lindenstrauss Lemma, k-NN, Locality Sensitive Hashing, mathematics, maths, multivariate statistics, non-parametric model, numerical algorithms, numerical linear algebra, point pattern analysis, random projections, recommender systems, science, stochastic algorithms, stochastics, subspace projection methods
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ecoquant
