「2019 MATLAB for AI and Data Science Academic Tour』

2019 MATLAB for AI and Data Science Academic Tour

Deep Learning for Signal &Image/ Top 10 Productivity Tools

Deep learning achieves human-like accuracy for many tasks considered algorithmically unsolvable with traditional machine learning. Come to join us for Deep learning for signal and image practical skills. This tour also shares the “Top 10 Productivity Tools in MATLAB” to increase your productivity and effectiveness. Don’t miss machine learning and big data session if you wish to expand your knowledge in the data analytics field.

Agenda

NTHU

NCU

2019/9/12/ (THU)
09:00-11:45
General Building Ⅱ 8F Conference Hall

Demystifying Deep Learning :
Signal Focus

Top 10 Productivity Tools with MATLAB

2019/9/12 (THU)
14:00-17:00
The International Conference Hall of the College of Hakka

Demystifying Deep Learning :
A practical approach

MATLAB for Machine Learning and Big Data

* Sessions in Green are conducted in English

Speaker highlight

Loren Shure MathWorks

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. She 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. Loren writes about MATLAB on her blog, The Art of MATLAB.

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