Predictive Analytics

Using Data Analytics to turn large volumes of complex data into actionable information can help you improve engineering design and decision-making processes.
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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

• Accessing, exploring, and analysing data stored in files, the web, and data warehouses
• Techniques for cleaning, exploring, visualising, 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
  
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About the Presenter

Antti Löytynoja joined the MathWorks application engineering team in 2010. Working with MathWorks customers across the Nordic countries, he focuses on MATLAB applications such as data analytics, machine learning, predictive maintenance and application deployment. Prior to joining MathWorks, Antti was a researcher at Tampere University of Technology (TUT), where he also earned his M.Sc. degree in signal processing. At TUT, Antti specialised in audio signal processing applications, such as sound source localisation.