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Beer reviews with Recurrent Neural Networks (RNN)

转载自:https://datanice.wordpress.com/2015/10/08/beer-reviews-with-recurrent-neural-networks-rnn/

aptissimum


发表于 2015-10-08

Since Andrej Karpathy conviced me of the The Unreasonable Effectiveness of Recurrent Neural Networks, I decided to give it a try as soon as possible.

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Predicting Fantasy Football Points

转载自:http://learningwithdata.com/predicting-fantasy-football-points.html

Tyler Folkman


发表于 2015-10-07

Predicting fantasy points is hard. On average the models are only off by about 6.5 points, but can miss pretty big when players do very well or poorly, which is really what you usually care about. This is inheritely a challenging problem - how do you use past data to try and determine a future performance that differs from that past (like a break out game or a slump)? On some level, I imagine this is impossible, but think we could maybe do better. For instance, my model doesn’t account for injury at all. Knowing that a player is coming off an injury could be very valuable. Or knowing that a key offensive lineman is out could really affect a RBs performance. I think the NFL has a lot of cool work that could be done with the right data and some deep thought about how these data could be used to understand performance.

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Yet Another PhD to Data Science Post (Part III)

转载自:http://blog.ethanrosenthal.com/2015/10/06/interviews-to-job/

Ethan Rosenthal


发表于 2015-10-06

## Yet Another PhD to Data Science Post (Part III)

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The Unbundling of AWS

转载自:http://blog.dennybritz.com/2015/10/06/the-unbundling-of-aws/

Denny Britz


发表于 2015-10-06

(I’m using AWS as an example, but this post applies just as much to other cloud providers)

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Lychrel Numbers

转载自:http://datagenetics.com/blog/october12015/index.html

未知


发表于 2015-10-05
This article is based on a recent Numberphile video.It relates to an interesting property of numbers to eventually turn into palindromes when added to themselves reversed. Here’s how it works:- Take any positive integer number.- Is the number a palindrome (does it read the same back-to-front)? - If yes, stop.- If not, write the current number backwards and add this to the current number.- This sum is the new number.- Goto step 2
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Craft Software

转载自:http://inverseprobability.com/2015/10/05/craft-software

未知


发表于 2015-10-05

This morning I helped my mum recover a lost Word document which I had reformatted for her over the weekend. Just using Word feels excruciating after writing 70,000 words across the summer in markdown.

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Travel Recommendations with Jaccard Similarities

转载自:https://cavaunpeu.github.io/2015/10/03/travel-recommendations-with-jaccard-similarities/

Will Wolf


发表于 2015-10-03

I recently finished building a web app that recommends travel destinations. You input a country, and it provides you with 5 other countries which you might also enjoy. The recommendations are generated via a basic application of collaborative filtering. In effect, you query for a country, and the engine suggests additional countries enjoyed by other users of similar taste. The methodology is pretty simple:

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Experiments with style transfer

转载自:http://mtyka.github.io//code/2015/10/02/experiments-with-style-transfer.html

未知


发表于 2015-10-02

Since the original Artistic style transfer and the subsequent Torch implementation of the algorithm by Justin Johnson were released I’ve been playing with various ways to use the algorithm in other ways. Here’s a quick dump of the results of my experiments. None of these are particularily rigorous and I think there’s plenty of room for improvement.

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Denoising Dirty Documents: Part 8

转载自:https://colinpriest.com/2015/10/02/denoising-dirty-documents-part-8/

Colin Priest


发表于 2015-10-02

In this blog we will engineer a new feature to go into our model. So far we have predominantly been using localised features – information about pixels that are located nearby the pixel whose brightness we are predicting. In this blog we will consider the structure of a document, and use that to improve our model.

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The Julia language for Scientific Computing

转载自:http://www.nowozin.net/sebastian/blog/the-julia-language-for-scientific-computing.html

Sebastian Nowozin


发表于 2015-10-02

Julia is a relatively new programming language with the declared goal to become the leading language for scientific computing.

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