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Kiji Community - Build Real-Time Scalable Data Applications on Apache HBase

Kiji Community - Build Real-Time Scalable Data Applications on Apache HBase | EEDSP | Scoop.it

Build Real-Time Scalable Data Applications on Apache HBase

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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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Open MPI 2.0.0 Released - insideHPC

Open MPI 2.0.0 Released - insideHPC | EEDSP | Scoop.it
Today the Open MPI Team announced the release of Open MPI version 2.0.0. Version 2 is a major new release series containing many new features and bug fixes.
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15 Characteristics of a Good Programmer

15 Characteristics of a Good Programmer | EEDSP | Scoop.it
Finding a person with solid skills who is the right fit for you and your team is a challenge but here is how to do it.
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Customer Journey Analytics and Data Science

Customer Journey Analytics and Data Science | EEDSP | Scoop.it
Where do customers abandon the shopping process? Is it the same in every geography? Audience of One.... Who are your fans versus haters in the marketplace? How do customers feel about your products? How engaged are customers with your brand versus your competitors’ brands across social media and web channels? Fortune 500 companies are making large investments…
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Introducing DeepText: Facebook's text understanding engine

Introducing DeepText: Facebook's text understanding engine | EEDSP | Scoop.it
DeepText can understand with near-human accuracy the textual content of several thousand posts per second, spanning more than 20 languages.
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Getting Started | Adapt Intent Parser by Mycroft

he Adapt Intent Parser is an open source software library for converting natural language into machine readable data structures. Adapt is lightweight and streamlined and is designed to run on devices with limited computing resources. Adapt takes in natural language and outputs a data structure that includes the intent, a match probability, a tagged list of entities. The software was developed at Mycroft AI by a team led by Sean Fitzgerald, formerly one of the developers of both Siri and Amazon Echo.

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An introduction to data modeling using Google's Datastore

I come from the relational world like probably everyone who's been doing software for the last 5 years or so. In 2012 NoSQL databases were already a thing, and I had an opportunity to work with Google's Datastore, so I googled the documentation and started from the beginning.
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Peter Norvig's answer to How do I train myself to transition from a career in software engineering to AI? - Quora

How do I train myself to transition from a career in software engineering to AI?
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From Node.js to Go

From Node.js to Go | EEDSP | Scoop.it
Last month Scaledrone migrated all websocket servers from Node.js to Go. We are a push messaging company so using the best possible websocket solution is vital to us. We started playing around with Go because the memory required per customer was very high. In the end we got more than we asked for as Go servers use a third of the memory that our Node.js servers did. In addition to the memory usage lowering, both response and connections times were reduced significantly.
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BigQuery and Dataproc shine in independent big data platform comparison | Google Cloud Big Data and Machine Learning Blog

BigQuery and Dataproc shine in independent big data platform comparison | Google Cloud Big Data and Machine Learning Blog | EEDSP | Scoop.it
Big data expert Mark Litwintschik benchmarks Google BigQuery, Hadoop, Spark, ElasticSearch, Presto and Google Cloud Dataproc with fascinating results.
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Machine learning accelerates the discovery of new materials

Machine learning accelerates the discovery of new materials | EEDSP | Scoop.it
Researchers recently demonstrated how an informatics-based adaptive design strategy, tightly coupled to experiments, can accelerate the discovery of new materials with targeted properties, according to a recent paper publishe
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Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source

Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source | EEDSP | Scoop.it
At Google, we spend a lot of time thinking about how computer systems can read and understand human language in order to process it in intelligent ways. Today, we are excited to share the fruits of our research with the broader community by releasing SyntaxNet, an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding (NLU) systems. Our release includes all the code needed to train new SyntaxNet models on your own data, as well as Parsey McParseface, an English parser that we have trained for you and that you can use to analyze English text.
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SRC:CLR

SRC:CLR | EEDSP | Scoop.it

Public vulnerability databases contain a small fraction of the vulnerabilities that exist in the world’s open-source libraries. Relying solely on public databases exposes you to real risks. To build the most comprehensive vulnerability data possible, we supplement public databases with data we extract from the millions of libraries that we sync, track and analyze. Using some nifty data science, we have built the world’s most comprehensive registry of open-source security information.

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Machine Learning Driven Programming: A New Programming for a New World - High Scalability -

Machine Learning Driven Programming: A New Programming for a New World - High Scalability - | EEDSP | Scoop.it

I know, you are tired of hearing about Deep Learning. Who isn’t by now? But programming has been stuck in a rut for a very long time and it's time we do something about it. Lots of silly little programming wars continue to be fought that decide nothing. Functions vs objects; this language vs that language; this public cloud vs that public cloud vs this private cloud vs that ‘fill in the blank’; REST vs unrest; this byte level encoding vs some different one; this framework vs that framework; this methodology vs that methodology; bare metal vs containers vs VMs vs unikernels; monoliths vs microservices vs nanoservices; eventually consistent vs transactional; mutable vs immutable; DevOps vs NoOps vs SysOps; scale-up vs scale-out; centralized vs decentralized; single threaded vs massively parallel; sync vs async. And so on ad infinitum.

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NVIDIA Docker: GPU Server Application Deployment Made Easy

NVIDIA Docker: GPU Server Application Deployment Made Easy | EEDSP | Scoop.it
Introduction to Docker containers and NVIDIA Docker plugin for easy deployment of GPU-accelerated applications such as deep learning frameworks on GPU servers
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NVIDIA Deep Learning Software Platform Updated with DIGITS, cuDNN, GIE | NVIDIA Blog

NVIDIA Deep Learning Software Platform Updated with DIGITS, cuDNN, GIE | NVIDIA Blog | EEDSP | Scoop.it
New updates to the NVIDIA Deep Learning SDK — DIGITS 4, cuDNN and GIE — help data scientists and developers make the most of the vast opportunities in deep learning.
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Introducing Kafka Streams: Stream Processing Made Simple

Introducing Kafka Streams: Stream Processing Made Simple | EEDSP | Scoop.it
Check out a new feature in Apache Kafka called Kafka Streams--a Java library for building distributed stream processing apps using Apache Kafka.
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2008 hangeul identity motion

This is "2008 hangeul identity motion" by eeung on Vimeo, the home for high quality videos and the people who love them.
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8 way of Boosting Performance of Machine Learning Models

8 way of Boosting Performance of Machine Learning Models | EEDSP | Scoop.it
People often get stuck when they are asked to improve the performance of existing predictive models. What usually they do is try different algorithms and check their results. But often they end up not improving the model. Here are some of the steps you can take to boost your existing models. 1. Add more dataRead More
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Google Takes Unconventional Route with Homegrown Machine Learning Chips

Google Takes Unconventional Route with Homegrown Machine Learning Chips | EEDSP | Scoop.it
At the tail end of Google’s keynote speech at its developer conference Wednesday, Sundar Pichai, Google’s CEO mentioned that Google had built its own chip
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11 Deep Learning Articles, Tutorials and Resources

11 Deep Learning Articles, Tutorials and Resources | EEDSP | Scoop.it
According to Wikipedia, deep learning (deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set…
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Operating System Interface Design Between 1981-2009

Operating System Interface Design Between 1981-2009 | EEDSP | Scoop.it
A Graphical User Interface (GUI for short) allows users to interact with the computer hardware in a user friendly way. Over the years a range of GUI's have
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What is machine learning?

What is machine learning? | EEDSP | Scoop.it
Learn more about machine learning, the process of building analytical models to automatically discover previously unknown patterns from data.
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Spark 2.0 Technical Preview: Easier, Faster, and Smarter

Spark 2.0 Technical Preview: Easier, Faster, and Smarter | EEDSP | Scoop.it
In this blog, I summarize the three major thrusts and themes—easier, faster, and smarter—that comprise Spark 2.0 and announce the availability of a technical preview of Apache Spark 2.0 in Databricks Community Edition.
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