Data is big
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Data is big
&amp;amp;quot;The future is here. It's just not evenly distributed yet.&amp;amp;quot; - William Gibson     :::: Follow this topic for fresh resources and ideas related to Data Science, Machine Learning, Algorithms and #bigdata :::: <a href="http://www.dataisbig.co" rel="nofollow">http://www.dataisbig.co</a>/
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How to Build an Ensemble Of Machine Learning Algorithms in R (ready to use boosting, bagging and stacking)

How to Build an Ensemble Of Machine Learning Algorithms in R (ready to use boosting, bagging and stacking) | Data is big | Scoop.it

Ensembles can give you a boost in accuracy on your dataset. In this post you will discover how you can create three of the most powerful types of ensembles in R. This case study will step you through Boosting, Bagging and Stacking  

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International Business Communication Standards #visualization #dataviz

The International Business Communication Standards (IBCS or IBCS Standards) are practical proposals for the design of reports and presentations, meaning, in most cases, the proper conceptual, perceptual and semantic design of charts and tables.

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Robot Control with Distributed Deep Reinforcement Learning

Demonstration of Distributed Deep Reinforcement Learning in simulated racing car driving and actual robots control.
ukituki's insight:

Cars learn how to drive safely through intersections without traffic lights

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Human-level concept learning | Daily Mail Online

NYU Moore-Sloan data science fellow Brenden Lake speaks about human-level concept learning through probabilistic program induction.
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Introducing Kaggle Datasets

Introducing Kaggle Datasets | Data is big | Scoop.it
At Kaggle, we want to help the world learn from data. This sounds bold and grandiose, but the biggest barriers to this are incredibly simple. It’s tough to access data. It’s tough to understand wha…
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Simple solutions to make videos with R

Simple solutions to make videos with R | Data is big | Scoop.it
I'm talking about streaming data displayed in video rather than chart format, like 200 scatter plots continuously updated, as in my recent video series from ch…
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Scraping via APIs

Scraping via APIs | Data is big | Scoop.it
ukituki's insight:

In the epic poem Rime of the Ancient Mariner, Samuel Taylor Coleridge states, “Water, water, everywhere, nor any a drop to drink.” Indeed, some would say the same about data. Data appear to be everywhere yet only a fraction are analyzed. There are several arguments as to why but one that has reached the concern of the White House is data accessibility. However, this is rapidly changing as growth in technology and resources are quickly opening the doors of many data vaults to the masses. We, the public minions, now have access to a wide range of data; from social, financial, government, and ecommerce data to geospatial, search engine, and even ant data. We just need to know how to get it. Enter APIs.

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Why I use ggplot2

Why I use ggplot2 | Data is big | Scoop.it
If you’ve read my blog, taken one of my classes, or sat next to me on an airplane, you probably know I’m a big fan of Hadley Wickham’s ggplot2 package, especially compared to base R plotting.
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How to use XGBoost algorithm in R in easy steps

How to use XGBoost algorithm in R in easy steps | Data is big | Scoop.it
This tutorial explains the use of xgboost algorithm in R. This is done using a data set and building a predictive model with this algorithm
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General Tips for participating Kaggle Competitions

The slides of a talk at Spark Taiwan User Group to share my experience and some general tips for participating kaggle competitions.
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word2vec, LDA, and introducing a new hybrid algorithm: lda2vec

Available with notes: http://www.slideshare.net/ChristopherMoody3/word2vec-lda-and-introducing-a-new-hybrid-algorithm-lda2vec (Data Day 2016) Standard natural …
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Shiny 0.13.0

Shiny 0.13.0 is now available on CRAN! This release has some of the most exciting features we’ve shipped since the first version of Shiny. Highlights include: Shiny Gadgets HTML templates Shiny mod...
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Making Facebook for Whales

Making Facebook for Whales | Data is big | Scoop.it
Marine biologists have crowdsourced a facial-recognition algorithm to help them identify the animals on the spot.
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