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Data Analytics with MATLAB

Adam Filion, MathWorks

Using Data Analytics to turn large volumes of complex data into actionable information can help you improve engineering design and decision-making processes.  However, developing effective analytics and integrating them into business systems can be challenging.  In this webinar you will learn approaches and techniques available in MATLAB to tackle these challenges.

Highlights include:

  • Accessing, exploring, and analyzing data stored in files, the web, and data warehouses
  • Techniques for cleaning, exploring, visualizing, and combining complex multivariate data sets
  • Prototyping, testing, and refining predictive models using machine learning methods
  • Integrating and running analytics within enterprise business systems and interactive web applications

Who Should Attend:

  • Engineers, analysts, and data scientists interested in developing analytics
  • Managers interested in using data analytics to improve design and design-making
  • IT managers and systems engineers interested in integrating analytics into business systems

Recorded: 28 Jun 2018

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Download example files (from File Exchange)
Predictive Analytics with MATLAB: Finding Value in Engineering and Business Data
Self-Paced Training: Machine Learning with MATLAB

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