efavdb

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241.
by efavdb 11y ago
Awesome idea!
242.
Stochastic geometric series(efavdb.com)
10 points by efavdb 11y ago|4 comments
243.
Web scraping / lit search with R(efavdb.com)
3 points by efavdb 11y ago|0 comments
244.
Leave-one-out cross-validation(efavdb.com)
3 points by efavdb 11y ago|0 comments
245.
Machine learning to predict San Francisco crime(efavdb.com)
2 points by efavdb 11y ago|0 comments
246.
How not to sort by average rating, revisited(efavdb.com)
3 points by efavdb 11y ago|0 comments
247.
Multivariate Cramer-Rao inequality(efavdb.com)
1 points by efavdb 11y ago|0 comments
248.
The mean shift clustering algorithm(efavdb.com)
1 points by efavdb 11y ago|0 comments
249.
by efavdb 12y ago
That would be nice, or maybe there could be incentives for people to move the bikes. Seeing bikes ride themselves would look great though.
250.
by efavdb 12y ago
I am glad you enjoyed the post. I have only recently started working with the bike data sets and it has been interesting. I will take a look at those articles. Thanks!
251.
Forecasting Bike Sharing Demand(efavdb.com)
42 points by efavdb 12y ago|11 comments
252.
Crib notes on decision trees and forests and their efficient implementations(efavdb.com)
1 points by efavdb 12y ago|0 comments
253.
Measles vaccination rate by USA state and relation to mean outbreak size(efavdb.com)
2 points by efavdb 12y ago|0 comments
254.
Machine learning for facial recognition(efavdb.com)
2 points by efavdb 12y ago|0 comments
255.
Quick tutorial on MySQL(efavdb.com)
5 points by efavdb 12y ago|0 comments
256.
Machine learning with wearable sensors(efavdb.com)
3 points by efavdb 12y ago|0 comments
257.
by efavdb 12y ago
We spent some time figuring out how to get Processing apps onto our WordPress blog and thought it would be useful for others to see how it is done. Processing is a very accessible language for learning how to make cool, dynamic, interactive
258.
Getting cool, interactive, dynamic apps on your WordPress blog using Processing(efavdb.com)
3 points by efavdb 12y ago|1 comments
259.
Quantifying the NBA Christmas week flop: one in ten thousand?(efavdb.com)
3 points by efavdb 12y ago|0 comments
260.
by efavdb 12y ago
We are using a collaborative filtering algorithm, as outlined here: http://efavdb.com/nba-learner-2013-14-warmup/ Any comments on how we might improve the visual would be appreciated.
261.
Machine learning-based NBA predictions, method and visual(efavdb.com)
5 points by efavdb 12y ago|1 comments
262.
by efavdb 12y ago
Good point, thanks. I'll change the name. Happy holidays.
263.
Regression without negative examples(efavdb.com)
6 points by efavdb 12y ago|2 comments