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 seminar, you will learn approaches and techniques available in MATLAB to tackle these challenges.
If you are using MATLAB for solving your computational problems, you may also want to extend your impact beyond your desktop, by sharing your custom MATLAB functionality with others. Whether you need to protect your intellectual property or generate readable ANSI C code, MathWorks provides a flexible range of options for sharing your MATLAB programs as C code, executables or software components.
Lucas García is a Senior Application Engineer at MathWorks specialized in Machine Learning and Big Data. Mathematician by training, he works with MATLAB users across industries to help them solve problems in areas such as Data Analytics and Predictive Maintenance. For several years, he has also been Training Engineer at MathWorks. Prior to joining MathWorks in 2008, he worked as a developer at Indizen and researcher at INE and CSIC-MNCN. His research is focused in the use of neural networks to solve combinatorial optimization problems.
|08:30 - 09:00||Registration|
|09:00 - 09:15||Welcome and Introduction|
|09:15 - 10:15||
Introduction to MATLAB for Data Analytics
|10:15 - 11:00||
Sharing MATLAB based Applications
In this session, we will discuss and demonstrate ways to deploy and share your MATLAB applications and algorithms.
|11:00 - 11:30||Break|
|11:30 - 12:30||
Tackling Big Data with MATLAB
|12:30 - 12:45||Questions and Answers|