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슈퍼 컴퓨터의 미래, ‘병렬 컴퓨팅’에 묻다

슈퍼 컴퓨터의 미래, ‘병렬 컴퓨팅’에 묻다 | EEDSP | Scoop.it
지난 13일 미국 솔트레이크시티에서는 ‘2012 슈퍼컴퓨팅 학술대회’가 개최됐다. 슈퍼컴퓨팅 학술대회는 매 6개월마다 전 세계...
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EEDSP
Digital Signal Processing, Data Analytics, Big Data, HPC, Deep Learning, GPGPU, Distributed and Parallel Computing
Curated by Shiwon Cho
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How to Become a Better Node.js Developer in 2016

How to Become a Better Node.js Developer in 2016 | EEDSP | Scoop.it
Tips and best practices for development, how to operate Node.js infrastructures, how to do your day-to-day development and other useful advice.
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AlphaGo: using machine learning to master the ancient game of Go

AlphaGo: using machine learning to master the ancient game of Go | EEDSP | Scoop.it

The game of Go originated in China more than 2,500 years ago. Confucius wrote about the game, and it is considered one of the four essential arts required of any true Chinese scholar.

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The 5 V's of Big Data by Bernard Marr

The 5 V's of Big Data by Bernard Marr | EEDSP | Scoop.it
Nice infographics produced by famous business management consultant and author, Bernard Marr. Click on the picture, then click one more time on the picture, to…
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Design of a Modern Cache - High Scalability -

Design of a Modern Cache - High Scalability - | EEDSP | Scoop.it
This is a guest post by Benjamin Manes , who did engineery things for Google and is now doing e...
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Computers Learn to Detect Sarcasm on Twitter | MIT Technology Review

Computers Learn to Detect Sarcasm on Twitter | MIT Technology Review | EEDSP | Scoop.it
Software that detects when Twitter users are being sarcastic could help computers gain a sense of humor.
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Spark SQLとHive、Hadoop上でのクエリ処理性能を比較してみた

Spark SQLとHive、Hadoop上でのクエリ処理性能を比較してみた | EEDSP | Scoop.it
OSSのSQL on Hadoopとして注目が集まる「Spark SQL」について、日立ソリューションズ オープンソース技術グループが性能検証を実施している。「オープンソースカンファレンス2015 .Enterprise」で発表されたその検証結果を紹介する。
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Yahoo Releases the Largest-ever Machine Learning Dataset for Researchers

Yahoo Releases the Largest-ever Machine Learning Dataset for Researchers | EEDSP | Scoop.it
Yahoo Releases the Largest-ever Machine Learning Dataset for Researchers yahoolabs: “ By Suju Rajan Data is the lifeblood of research in machine learning. However, access to truly large-scale datasets...
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The Best Machine Learning Libraries in Python

The Best Machine Learning Libraries in Python | EEDSP | Scoop.it

Introduction There is no doubt that neural networks, and machine learning in general, has been one of the hottest topics in tech the past few years or so. It's easy to see why with all of the really interesting use-cases...

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Sirius: An Open Intelligent Personal Assistant

Sirius: An Open Intelligent Personal Assistant | EEDSP | Scoop.it

Sirius is an open end-to-end standalone speech and vision based intelligent personal assistant (IPA) similar to Apple’s Siri, Google’s Google Now, Microsoft’s Cortana, and Amazon’s Echo. Sirius implements the core functionalities of an IPA including speech recognition, image matching, natural language processing and a question-and-answer system. Sirius is developed by Clarity Lab at the University of Michigan. Sirius is published at the International Conference on Architectural Support for Programming Languages and Operating Systems

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Server-Side Architecture. Front-End Servers and Client-Side Random Load Balancing - High Scalability -

Server-Side Architecture. Front-End Servers and Client-Side Random Load Balancing - High Scalability - | EEDSP | Scoop.it
Chapter by chapter Sergey Ignatchenko is putting together a wonderful book on the Development ...
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Spark 2015 Year In Review

Spark 2015 Year In Review | EEDSP | Scoop.it
2015 has been a year of tremendous growth for Apache Spark. The pace of development is the fastest ever. We went through 4 releases (Spark 1.3 to 1.6) in a single year, and each of them added hundreds of improvements.
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Chainerで顔イラストの自動生成 - Qiita

Chainerで顔イラストの自動生成 - Qiita | EEDSP | Scoop.it
PFNのmattyaです。chainerを使ったイラスト自動生成をやってみました(上の画像もその一例です)。
20日目の@rezoolabさんの記事(Chainerを使ってコンピュータにイラストを描かせる)とネタが被っちゃったので、本記事ではさらに発展的なところを書いていきたいと思います。一緒に読んでいただくとよいかと。


概要


Chainerで画像を生成するニューラルネットであるDCGANを実装した→github

safebooruから顔イラストを集めてき...
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Image Text Recognition in Python

Image Text Recognition in Python | EEDSP | Scoop.it
In this post I’m going to summarize the work I’ve done on Text Recognition in Natural Scenes as part of my second portfolio project at Data Science Retreat. The importance of image processing has increased a lot during the last years. Especially with the growing market of smart phones people has started producing a huge … Continue reading Image Text Recognition in Python →
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Distributed learning in Torch | Twitter Blogs

Distributed learning in Torch | Twitter Blogs | EEDSP | Scoop.it
We recently released Autograd for Torch, which greatly simplified our workflow when experimenting with complex deep learning architectures. The Twitter Cortex team is continuously investing in bett...
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Big Data Basics: Hadoop, MapReduce, Hive, Pig, & Spark

Big Data Basics: Hadoop, MapReduce, Hive, Pig, & Spark | EEDSP | Scoop.it
Learn about some of the most popular big data analysis frameworks in commercial use - and look at some real code! - Free Course
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Machine learning

Machine learning | EEDSP | Scoop.it
GitHub is where people build software. More than 12 million people use GitHub to discover, fork, and contribute to over 31 million projects.
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Deep Learning with Spark and TensorFlow

Deep Learning with Spark and TensorFlow | EEDSP | Scoop.it

Neural networks have seen spectacular progress during the last few years and they are now the state of the art in image recognition and automated translation.  TensorFlow is a new framework released by Google for numerical computations and neural networks. In this blog post, we are going to demonstrate how to use TensorFlow and Spark together to train and apply deep learning models.

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100 “must read” R-bloggers’ posts for 2015

100 “must read” R-bloggers’ posts for 2015 | EEDSP | Scoop.it
The site R-bloggers.com is now 6 years young. It strives to be an (unofficial) online news and tutorials website for the R community, written by over 600
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New largest prime number found

New largest prime number found | EEDSP | Scoop.it
(Phys.org)—A team at the University of Central Missouri, headed by Curtis Cooper has announced, via press release from the Mersenne organization, that they have found the largest prime number ever—it is 274,207,281 – ...
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C++11 threads, affinity and hyperthreading - Eli Bendersky's website

C++11 threads, affinity and hyperthreading - Eli Bendersky's website | EEDSP | Scoop.it

This post is not a tutorial on C++11 threads, but it uses them as the main threading mechanism to demonstrate its points. It starts with a basic example but then quickly veers off into the specialized area of thread affinities, hardware topologies and performance implications of hyperthreading. It does as much as feasible in portable C++, clearly marking the deviations into platform-specific calls for the really specialized stuff.

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R Server | Microsoft

R Server | Microsoft | EEDSP | Scoop.it
Use R open source programming language to support big data analytics at enterprise scale with Microsoft R Server.
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Automatic Colorizing Photos With A Neural Net

Automatic Colorizing Photos With A Neural Net | EEDSP | Scoop.it
Programming book reviews, programming tutorials,programming news, C#, Ruby, Python,C, C++, PHP, Visual Basic, Computer book reviews, computer history, programming history, joomla, theory, spreadsheets and more.
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A distributed approach to co-operative data | Tim's Blog

Principle 6 of the International Co-operative Alliance calls for ‘co-operation amongst co-operatives’. Yet, for many co-ops, finding other worker owned businesses to work with can be challenging. Although there are over 7,000 co-operatives in the UK, and many more worldwide, it can be challenging to find out much about them.
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Introducing Spark Datasets

Introducing Spark Datasets | EEDSP | Scoop.it

Today we’re excited to announce Spark Datasets, an extension of the DataFrame API that provides a type-safe, object-oriented programming interface. Spark 1.6 includes an API preview of Datasets, and they will be a development focus for the next several versions of Spark. Like DataFrames, Datasets take advantage of Spark’s Catalyst optimizer by exposing expressions and data fields to a query planner.  Datasets also leverage Tungsten’s fast in-memory encoding.  Datasets extend these benefits with compile-time type safety – meaning production applications can be checked for errors before they are run. They also allow direct operations over user-defined classes.

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