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Wolfram Mathematical Programming - Machine Learning Applications - PowerPoint PPT Presentation

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Get started and up to speed on the concepts of mathematical programming in Wolfram Mathematica. It includes scientific, graphing calculator, data science and machine learning applications.\n \n

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Built-in Knowledge



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 expertise and even if you're an expert, you get results faster.

no one programming style is ideally suited

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.

hybrid symbolic numeric methodology

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.

integrated all in one platform

Integrated All-in-One Platform

Specialized software and add-on toolboxes discourage the creative exploration of new ideas and areas—an 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.

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Whether you are facing a slump in productivity, or you just need to change the way you collect, analyze and use data in order to improve your business processes, SciExperts consulting can give you the required guidance to help improve the efficiency and effectiveness of your most critical processes.