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deep learning

What is “Deep Learning”?

A Primer on Deep Learning vs. Machine Learning

Slashdot Media Contributing Editor Rick Leinecker discusses how to use the Intel Data Analytics Acceleration Library (DAAL) to take machine learning past simple regression training

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Using Intel Data Analytics Acceleration Library (DAAL) for Regression Training

Part 2 of our four-part series on machine learning shows how to do regression training and testing with DAAL

Intel Parallel Studio includes many useful libraries including DAAL, which accelerates machine learning coding, as demonstrated in this video blog from Slashdot Media Contributing Editor Rick Leinecker

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Machine Learning with “Pattern” for Python

Open Source web-mining module from University of Antwerp speeds data mining, network analysis, natural language processing

With a continued focus on machine learning, Slashdot Media Contributing Editor David Bolton blogs about a new tool from Belgian researchers aptly called Pattern, and how to use it to enhance your Python code

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Getting Started with Machine Learning and Parallel Studio

First installment of four-part series looks at different types of machine learning and when to use each approach

With Machine Learning increasingly in the news, Slashdot Media Contributing Editor Rick Leinecker takes an in-depth look at how to employ Intel Parallel Studio to create a machine learning application. Part 1…

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String Handling with Intel Integrated Performance Primitives (IPP)

Using Parallel Studio library to simplify string processing

In this video tutorial, Slashdot Media Contributing Editor David Bolton looks at the broad range of string functions the Intel IPP library accelerate for C, C++ and C# coders.

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Getting Started with the “R” Language, Part 2

Using objects to contain vectors and matrixes

In the second part of this tutorial, Slashdot Media Contributing Editor Rick Leinecker demonstrates how to use “R” language objects to contain vectors and matrixes for further manipulation.

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r language (1)

Getting Started with the R Language – Part 1

Comparing “R” to other languages – and looking at syntax.

First introduced two decades ago, the R language has been gaining popularity for data-intensive functions. Slashdot Media Contributing Editor Rick Leinecker gives us an intro to “R” in two parts.

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Doing Encryption with Intel Fortran

Hands-on example of encrypting for the scientific and math community

In this blog, Slashdot Media Contributing Editor David Bolton takes coding pen in hand and translates a popular C language encryption routine into Fortran

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Using Intel Math Kernel Library: Random Number Generators

Practical application of the Intel MKL to get random All random number generators are not created equal, and having tools like the Intel Math Kernel Library makes a big difference, as demonstrated by Slashdot Media Contributing Editor David Bolton Random Number Generation with Intel MKL Not all random number generators …

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Introduction to Parallel Algorithms

Using multiple cores to break a problem into pieces for faster execution With the demand for ever-faster code falling on developers’ shoulders, Slashdot Media Contributing Editor Rick Leinecker looks at how best to parallelize for performance Introduction to Parallel Algorithms Rick Leinecker, July 2016 This blog marks the beginning of …

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