Wolfram Mathematical Programming - Machine Learning Applications - PowerPoint PPT Presentation

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Wolfram Mathematical Programming - Machine Learning Applications

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Wolfram Mathematica, mathematical programming, scientific calculator, graphing calculator, data science, machine learning applications, machine learning – PowerPoint PPT presentation

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Title: Wolfram Mathematical Programming - Machine Learning Applications


1
Graphing Software Program- SciExperts
  • grapher, graphing software, graphing program

2
Automation
Automation is the key to productive computing.
Unlike other systems, Mathematica applies
intelligent automation in every part of the
system, from algorithm selection to plot layout
and user interface design. You get reliable,
high-quality results without needing algorithm
expertiseand even if you're an expert, you get
results faster.
3
Automation
  • Built-in Knowledge

Automation is the key to productive computing.
Unlike other systems, Mathematic applies
intelligent automation in every part of the
system, from algorithm selection to plot layout
and user interface design. You get reliable,
high-quality results without needing algorithm
expertiseand even if you're an expert, you get
results faster.
4
Programing
No one programming style is ideally suited to
every problem. Mathematica stands out traditional
computer languages by simultaneously supporting
many programming paradigms, such as procedural,
functional, rule-based, pattern-based, and more.
5
Hybrid Symbolic-Numeric Methodology
  • Symbolic and numerical computation are
    traditionally thought of as separate, to the
    detriment of users. In Mathematica, they are
    seamlessly integrated, enabling unique hybrid
    methods for many problems and ensuring consistent
    results whenever quantities of any precision are
    combined.

6
Integrated All-in-One Platform
Specialized software and add-on toolboxes
discourage the creative exploration of new ideas
and areasan even greater cost than their
purchase price. Mathematica requires no add-ons.
It has built-in specialized functionality for
many technical areas, from computational biology
to wavelet analysis, all tightly integrated with
the rest of the system.
7

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