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New Test for Computers: Grading Essays at College Level

New Test for Computers: Grading Essays at College Level | Data is big | Scoop.it
A system developed by a joint venture between Harvard and M.I.T. uses artificial intelligence to assess student papers and short written answers, freeing instructors for other tasks.
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Data is big
"The future is here. It's just not evenly distributed yet." William Gibson
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How to implement an algorithm from a scientific paper | Code Capsule

How to implement an algorithm from a scientific paper | Code Capsule | Data is big | Scoop.it
This article is a short guide to implementing an algorithm from a scientific paper. I have implemented many complex algorithms from books and scientific
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Quoc Le’s Lectures on Deep Learning | Gaurav Trivedi

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Radim Řehůřek : Word2vec Tutorial

Radim Řehůřek : Word2vec Tutorial | Data is big | Scoop.it
I never got round to writing a tutorial on how to use word2vec in gensim. It s simple enough and the API docs are straightforward, but I know some people prefer more verbose formats. Let this post be a tutorial and a reference example.
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Tutorials from useR! 2014 Los Angeles conference

Tutorials from useR! 2014 Los Angeles conference | Data is big | Scoop.it
The annual useR! international R User conference is the main meeting of the R user and developer community. In 2014, the conference will be held at the campus of the University of California in Los Angeles (UCLA).
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Predicting repeat buyers using purchase history

Predicting repeat buyers using purchase history | Data is big | Scoop.it
Another Kaggle contest means another chance to try out Vowpal Wabbit. This time on a data set of nearly 350 million rows.
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Getting and Cleaninig Data in R

ukituki's insight:

1. Intro.

2. Downloading and Reading Data

3. Reading From MySQL

4. Data in HDF5 Format

5. Reading Data from Web (webscraping)

6. Getting Data from APIs

7. Reading from Other Sources

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Shiny - The Shiny Cheat sheet

Shiny - The Shiny Cheat sheet | Data is big | Scoop.it
ukituki's insight:

The Shiny cheat sheet is a quick reference guide for building Shiny apps.

 
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Cohort analysis in R - Retention charts

Cohort analysis in R - Retention charts | Data is big | Scoop.it
When we spend more money for attracting new customers then they bring us by the first but, usually, by the next purchases, we appeal to customer's life-time value (CLV). We expect that customers wi...
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Material for the Deep Learning Course

Material for the Deep Learning Course | Data is big | Scoop.it
ukituki's insight:

Full NYU course on #deeplearning by @ylecun #datasci  

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Data Science @ ESIEE Paris - YouTube

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World Cup API Explorer

World Cup API Explorer | Data is big | Scoop.it
kimono: create APIs where they don't exist
ukituki's insight:

The last time a world cup was held in South America was in 1978 - before the internet. Each time South America has hosted the world cup, a South American team has won. Will it happen again? In 2010, 46% of the world's population tuned into the world cup final to find out. This world cup is likely to be even bigger. Despite the frenzy, a fully open and well documented REST API for the world cup doesn't exist. Our mission at kimonoLabs is to enable you - the builders - to bring data scattered across the web to life.

 

 

We couldn't let the World Cup sneak by without a proper API, so we built one. Our API provides up-to-date data on all 32 national teams and 736 players.

Structured data gives you the power to ask interesting questions. Quick want to find out which team has scored the most goals? Orwhich player? Wondering who are the youngest players participating in the cup? What about the nicknames of the entire Brazilian team? We also have historical data for each player so you can look up who's coming in with the most regular season goals or alternatively, the most red cards. What questions do you have?

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10 R packages I wish I knew about earlier

10 R packages I wish I knew about earlier | Data is big | Scoop.it
I started using R about 3 years ago. It was slow going at first. R had tricky and less intuitive syntax than languages I was used to, and it took a while to get accustomed to the nuances. It wasn't immediately clear to me that the power of the language was bound up with the community and the diverse packages available.

R can be more prickly and obscure than other languages like Python or Java. The good news is ...
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Convolutional Network Demo from 1993 by Yann LeCun

This is a demo of "LeNet 1", the first convolutional network that could recognize handwritten digits with good speed and accuracy. It was developed between 1...
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Understanding Convolutions - colah's blog

Understanding Convolutions - colah's blog | Data is big | Scoop.it
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Data Structure Visualization

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10 R Packages to Win Kaggle Competitions

10 R Packages to Win Kaggle Competitions | Data is big | Scoop.it
10 R Packages to Win Kaggle Competitions by Xavier Conort
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Definitive guide to prepare for an analytics interview

Definitive guide to prepare for an analytics interview | Data is big | Scoop.it
This article lays out all you wanted to know about analytics interview, best practices to follow and things to avoid during an interview.
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Predicting CTR with online machine learning | MLWave

Predicting CTR with online machine learning | MLWave | Data is big | Scoop.it
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One Hundred Million Creative Commons Flickr Images for Research

One Hundred Million Creative Commons Flickr Images for Research | Data is big | Scoop.it
by David A. Shamma


Today the photograph has transformed again. From the old world of unprocessed rolls of C-41 sitting in a fridge 20 years ago to sharing photos on the 1.5” screen of a point and shoot camera 10 years back.
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Cohort analysis in R - "layer-cake graph"

Cohort analysis in R - "layer-cake graph" | Data is big | Scoop.it
Cohort analysis is one of the most powerful and demanded technique available to marketers for assessing long-term trends in customer retention and calculating life-time value. If you studied custor...
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Course: Big Data 2014

Course: Big Data 2014 | Data is big | Scoop.it
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Circular Migration Flow Plots in R

Circular Migration Flow Plots in R | Data is big | Scoop.it
A article of mine was published in Science today. It introduces estimates for bilateral global migration flows between all countries. The underlying methodology is based on the conditional maximisa...
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The Wisdom of Smaller, Smarter Crowds - Microsoft Research

ukituki's insight:

The “wisdom of crowds” refers to the phenomenon that aggregated predictions from a large group of people can rival or even beat the accuracy of experts. In domains with substantial stochastic elements, such as stock picking, crowd strategies (e.g. indexing) are difficult to beat. However, in domains in which some crowd members have demonstrably more skill than others, smart sub-crowds could possibly outperform the whole.

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A short tutorial for decent heat maps in R

A short tutorial for decent heat maps in R | Data is big | Scoop.it
A short tutorial for decent heat maps in R.
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12 Free (as in beer) Data Mining Books | christonard

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