MATLAB and Simulink Seminars

Data Science with MATLAB

Event Type Start Time End Time
What's New in MATLAB 16 Nov 2021 - 14:00 CET 16 Nov 2021 - 16:00 CET
Deep Learning Overview for Images and Video 16 Nov 2021 - 16:15 CET 16 Nov 2021 - 18:15 CET

Overview

Please join MathWorks at this upcoming seminar. This seminar is organized in two sessions:

The first one describes why and how MATLAB has changed and improved over the past seven years.

The second provides an overview of how MATLAB enables you to take advantage of disruptive technologies like Deep Learning.

Highlights

  • MATLAB has changed significantly over the last few years to address the growing needs of our users. This session will introduce you to many useful new features.
  • MathWorks developers have purpose-built MATLAB's deep learning functionality for engineering and science workflows. We understand that success goes beyond just developing a deep learning model. Ultimately, models need to be incorporated into an entire system design workflow to deliver a product or a service to the market.

Who Should Attend

  • Students and researchers with MATLAB/programming experience who have active or upcoming projects with MATLAB
  • Staff that are using, or thinking of using MATLAB
  • Not just engineers and programmers, but scientists of all sorts, including economists, geographers, and psychologists, interested in AI. In fact, anyone with data – which is almost everyone!

About the Presenter

Loren has worked at MathWorks for over 30 years. For the first 27 of these years, Loren co-authored several MathWorks products in addition to adding core functionality to MATLAB, including major contributions to the design of the MATLAB language. She is currently part of the Application Engineering team, enabling Loren to spend more time and energy working with customers.

For more than 10 years, traveling worldwide over half of each year, Loren delivers more than 150 technical, strategic, and vision-setting presentations yearly to audiences ranging from hands-on problem solvers through high-level executives.   

Loren graduated from MIT with a B.Sc. in physics and has a Ph.D. in marine geophysics from the University of California, San Diego, Scripps Institution of Oceanography. She is a Senior Member of IEEE; and she is co-author on several patent inventions.  Loren writes about MATLAB on her blog, The Art of MATLAB

Agenda

Time Title

14.00-16.00

MATLAB has changed significantly over the last few years to address the growing needs of our users. This session will introduce you to many useful new features.

Highlights include:

  • Creating Live Scripts that combine code, output, and formatted text in an executable notebook
  • New data types, tools, and functions for importing, cleaning, filtering, grouping, and visualizing your data
  • Handling big data without big changes: use the same code and syntax you're used to with tall arrays, even if your datasets don't fit in memory.
  • Significantly improved execution performance
  • Using MATLAB with other programming languages
  • Collaborating effectively in MATLAB with Projects, testing frameworks, and source control integration
  • Creating professional apps in App Designer, without needing to be a professional software developer
  • Support for a wide range of hardware - from low-cost hardware platforms like Arduino, LEGO, and Raspberry Pi to high-end data acquisition systems and signal analyzers
  • Major toolbox updates

16.15-18.15

  • Show where deep learning is being applied in engineering and science, and how its driving MATLAB's development.
  • Demonstrate a workflow for how you can research, develop and deploy your own deep learning application.
  • Outline what MathWorks engineers can do to help support you achieve success with deep learning.

Technologies demonstrated include:

  • Automating Ground Truth Image Labeling
  • Training and Evaluating an Object Detector
  • Generating optimized native embedded code

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