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Intel software, Wolfram Mathematica, Origin, Statgraphics, EViews
Intel software, Wolfram Mathematica, Origin, Statgraphics, EViews
Info e Commerciali Intel software, Wolfram Mathematica, Origin, Statgraphics, EViews
Intell® Data Analytics Acceleration Library 2020 (Intel DAAL)
Lingua: Ing S.O.: Win, Linux, MacOS
Produttore: Intel® Software
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High-Performance Data Science

Deliver faster machine learning and analytics results with this library.

 

Overview

This library helps reduce the time it takes to develop high-performance data science applications. Enable applications to make better predictions faster and analyze larger data sets with available compute resources.

  • Includes highly optimized machine learning and analytics functions
  • Simultaneously ingests data and computes results for highest throughput performance
  • Supports batch, streaming, and distribution use models to meet a range of application needs
  • Use the same API for application development on multiple operating systems

Note This library supports Python*. To access a Python interface for the Intel® Data Analytics Acceleration Library (Intel® DAAL) high-speed algorithms, use the daal4py that is included in the Intel® Distribution for Python*.

 

 

Support

Community Forum

Connect to the developer community and our technical experts through this public forum.

Priority Support

All paid versions of Intel® Software Development Products automatically include Priority Support for one year from your date of purchase.

Get direct access to our technical experts when you purchase this library in a bundle with Intel® Parallel Studio XE or Intel® System Studio.

License FAQ

 

Specifications

Processors
  • Intel Atom® processors
  • Intel® Core™ processors
  • Intel® Xeon® processors
  • Intel® Xeon Phi™ processors
Code
  • C++
  • Java*
  • Python*
Integrated Development Environments
  • Microsoft Visual Studio* (Windows)
  • Eclipse CDT (C/C++ Development Tooling)*
Operating Systems
  • Windows
  • Linux
  • macOS

What's New in Intel®  DAAL 2020:

  • Introduced new functionality:
    • Probabilistic classification and variable importance computation for Gradient Boosted Trees.
    • Classification Stump with Information gain and Gini index split methods.
    • Regression Stump with MSE split method.
  • Extended existing functionality:
    • Decision Tree functionality supports weighted data.
    • AdaBoost algorithm now works with multiple classes.
    • AdaBoost multiclass algorithm is available with SAMME and SAMME.R methods.AdaBoost, BrownBoost, and LogitBoost work with algorithms that support weights.
  • Improved performance for LBFGS Optimization Solver.
  • Started Neural Network Deprecation:
    • Starting from Intel® DAAL 2020, Neural Networks will not have any new features and functionalities. The support will be completely discontinued from Intel® DAAL 2021. For more information, see the Deprecation Notes.

 

Acquista: Intel® DAAL

 
Prova Demo: Intel® DAAL