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High Scalability - BigData using Erlang, C and Lisp to Fight the Tsunami of Mobile Data

High Scalability - BigData using Erlang, C and Lisp to Fight the Tsunami of Mobile Data | EEDSP | Scoop.it

BugSense, is an error-reporting and quality metrics service that tracks thousand of apps every day. When mobile apps crash, BugSense helps developers pinpoint and fix the problem. The startup delivers first-class service to its customers, which include VMWare, Samsung, Skype and thousands of independent app developers. Tracking more than 200M devices requires fast, fault tolerant and cheap infrastructure.

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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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The New York Times built a robot to help make article tagging easier

The New York Times built a robot to help make article tagging easier | EEDSP | Scoop.it
Developed by the Times R&D lab, the Editor tool scans text to suggest article tags in real time. But the automatic tagging system won't be moving into the newsroom soon.
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Diving into Spark Streaming’s Execution Model

Diving into Spark Streaming’s Execution Model | EEDSP | Scoop.it
In this post, we outline Spark Streaming’s architecture and explain how it provides the above benefits. We also discuss some of the interesting ongoing work in the project that leverages the execution model.
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Intel and Micron Produce Breakthrough Memory Technology

Intel and Micron Produce Breakthrough Memory Technology | EEDSP | Scoop.it
New Class of Memory Unleashes the Performance of PCs, Data Centers and More NEWS HIGHLIGHTS Intel and Micron begin production on new class of non-volatile memory, creating the first new memory category in more than 25 years.New 3D XPoint™ technology brings non-volatile memory speeds up to 1,000
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Benchmarks: Intel Xeon Phi vs. NVIDIA Tesla GPU

Benchmarks: Intel Xeon Phi vs. NVIDIA Tesla GPU | EEDSP | Scoop.it

We’ve seen that there is one processor that needs to be added to the picture — the commodity multi-core CPU. This is already a part of many server configurations, and for some applications, e.g., Monte-Carlo pricing of American options, it can give better or comparable performance than an accelerator processor when optimized correctly. Between NVIDIA’s Kepler GPUs and Xeon Phi, the GPU wins for both of our test applications.

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What's New in RNeo4j - Neo4j Graph Database

What's New in RNeo4j - Neo4j Graph Database | EEDSP | Scoop.it
Written by Nicole White What’s New in RNeo4j? RNeo4j is Neo4j’s R driver – it allows you to quickly and easily interact with a Neo4j database from your R environment. Some recent updates to RNeo4j include: My contributions Functionality for… Learn More »
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Introduction to Neural Machine Translation with GPUs (part 3)

Introduction to Neural Machine Translation with GPUs (part 3) | EEDSP | Scoop.it
Note: This is the final part of a detailed three-part series on machine translation with neural networks by Kyunghyun Cho. You may enjoy part 1 and part 2. In the previous post in this series, I in...
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GitHub Special: Data Scientists to Follow & Best Tutorials on GitHub

GitHub Special: Data Scientists to Follow & Best Tutorials on GitHub | EEDSP | Scoop.it
GitHub has some of the most awesome collections of data science resources. This article provides this list and people to follow on GitHub
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Kubernetes V1 Released - Cloud Native Computing Foundation to Drive Container Innovation

Kubernetes V1 Released - Cloud Native Computing Foundation to Drive Container Innovation | EEDSP | Scoop.it

On behalf of the community, it’s our pleasure to announce that Kubernetes, the open source container orchestration system, has reached the v1 milestone (GitHub).  This important release, built by over 400 contributors, means Kubernetes is ready for production use.  While this is huge news, there’s still much work remaining to build out the entire container toolset.

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What is the difference between developer, engineer, programmer, coder, architect, and consultant? - Quora

What is the difference between developer, engineer, programmer, coder, architect, and consultant? - Quora | EEDSP | Scoop.it
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A Neural Network in 11 lines of Python - i am trask

A Neural Network in 11 lines of Python - i am trask | EEDSP | Scoop.it

Write your site description here. It will be used as your sites meta description as well!

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An Introduction to Deep Learning and it’s role for IoT/ future cities

An Introduction to Deep Learning and it’s role for IoT/ future cities | EEDSP | Scoop.it

This article is a part of an evolving theme. Here, I explain the basics of Deep Learning and how Deep learning algorithms could apply to IoT and Smart city domains. Specifically, as I discuss below, I am interested in complementing Deep learning algorithms using IoT datasets. I elaborate these ideas in the Data Science for Internet of Things program which enables you to work towards being a Data Scientist for the Internet of Things  (modelled on the course I teach at Oxford University and UPM – Madrid). I will also present these ideas at the International conference on City Sciences at Tongji University in Shanghai  and the Data Science for IoT workshop at the Iotworld event in San Francisco

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Getting Started with OpenACC

Getting Started with OpenACC | EEDSP | Scoop.it
This week NVIDIA has released the NVIDIA OpenACC Toolkit, a starting point for anyone interested in using OpenACC. OpenACC gives scientists and researchers a simple and powerful way to accelerate s...
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Improving Facebook's performance on Android with FlatBuffers

Improving Facebook's performance on Android with FlatBuffers | EEDSP | Scoop.it
In last six months, we have transitioned most of Facebook on Android to use FlatBuffers as the storage format.
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New Features in Machine Learning Pipelines in Spark 1.4

New Features in Machine Learning Pipelines in Spark 1.4 | EEDSP | Scoop.it

A big part of any ML workflow is massaging the data into the right features for use in downstream processing.  To simply feature extraction, Spark provides many feature transformers out-of-the-box.  The table below outlines most of the feature transformers available in Spark 1.4 along with descriptions of each one. Much of the API is inspired by scikit-learn; for reference, we provide names of similar scikit-learn transformers where available.

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Installing and Starting SparkR Locally on Windows OS and RStudio

Installing and Starting SparkR Locally on Windows OS and RStudio | EEDSP | Scoop.it
Introduction

With the recent release of Apache Spark 1.4.1 on July 15th, 2015, I wanted to write a step-by-step guide to help new users get up and running with SparkR locally on a Windows machine using command shell and RStudio. SparkR provides an R frontend to Apache Spark and using Spark’s distributed computation engine allows R-Users to run large scale data analysis from the R shell. The steps listed here are also documented in my online book title “Getting Started with SparkR for Big Data Analysis” which can be accessed at: http://www.danielemaasit.com/getting-started-with-sparkr/. These steps will get you up and running in less than 5 mins.
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A Visual Introduction to Machine Learning

A Visual Introduction to Machine Learning | EEDSP | Scoop.it
A Visual Introduction to Machine Learning

In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.

 
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Introduction to Neural Machine Translation with GPUs (Part 2)

Introduction to Neural Machine Translation with GPUs (Part 2) | EEDSP | Scoop.it
Note: This is part two of a detailed three-part series on machine translation with neural networks by Kyunghyun Cho. You may enjoy part 1 and part 3. In my previous post, I introduced statistical m...
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We are data: the future of machine intelligence - FT.com

We are data: the future of machine intelligence - FT.com | EEDSP | Scoop.it
I look at apps like Grindr and Tinder and see how they’ve rewritten sex culture — by creating a sexual landscape filled with vast amounts of incredibly graphic site-specific data — and I can’t help but wonder why there isn’t an app out there that
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NVIDIA Doubles Performance for Deep Learning Training

NVIDIA Doubles Performance for Deep Learning Training | EEDSP | Scoop.it
NVIDIA today announced at the International Machine Learning Conference updates to its GPU-accelerated deep learning software that will double deep learning training performance...
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Awesome-rnn by kjw0612

A curated list of resources dedicated to recurrent neural networks (closely related to deep learning).
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Ditching RAM may lead to low-cost supercomputers

Ditching RAM may lead to low-cost supercomputers | EEDSP | Scoop.it
Many servers, supercomputers and other monster systems thrive on high-speed RAM to keep things running smoothly, but this memory is wildly expensive -- and that...
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Application of PageRank algorithm to analyze packages in R

Application of PageRank algorithm to analyze packages in R | EEDSP | Scoop.it
This article explains practical application of PageRank algorithm used by search engines to analyze packages in R with few commands on R like miniCran, pkgdep.
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Spark 1.4 for RStudio

Spark 1.4 for RStudio | EEDSP | Scoop.it
Today’s guest post is written by Vincent Warmerdam of GoDataDriven and is reposted with Vincent’s permission from blog.godatadriven.com. You can learn more about how to use SparkR with RStudio at the 2015 EARL Conference in Boston November 2-4, where Vincent will be speaking live. This document contains a tutorial on how to provision a spark […]
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