Afternoon | 14:30 - 18:30
Description:
Requirements:
·Laptop with the following requirements (Windows, Linux or Mac): www.mathworks.com/support/sysreq.html
·Internet Ethernet connection required
·MATLAB and Toolboxes will be provided so that you can download and install them prior to the workshop
·Some MATLAB experience is good to have. Going through this free 2-hour MATLAB On-Ramp training is highly recommended:
https://matlabacademy.mathworks.com/R2017a/portal.html?course=gettingstarted (requires creating a free MathWorks Account).
·Source code will be made available during the workshop
·During the workshop, you will be using GPUs available in Amazon P2 instances. However, you are required to bring your own laptop.
Certificate:
MathWorks will provide by email a certificate of attendance the week after the event.
Audience:
Data Scientists, Data Analysts, Engineers, or anyone interested in developing deep learning applications.
Some exposure, or basic understanding of neural networks is ideal, but not required.
Prior experience with or familiarity with MATLAB is preferred or good to have, as MATLAB is used for all examples and exercises. However, a 2-hour free online training course is available to get you started or refresh the most important concepts (see requirements section).
Bio of the instructor:
Lucas García is a Senior Application Engineer at MathWorks specialized in Machine Learning and Big Data Analytics. A mathematician with more than 10 years of experience in the computer software industry and research, he works with MATLAB users across industries (aerospace, energy and utilities, oil and gas, industrial automation, robotics, etc.) to help them tackle problems in areas such as data analytics and predictive maintenance. His research is focused on how neural networks can be used to solve combinatorial optimization problems.