The 2021 DSP/ML Online Conference
The 2021 DSP/ML Online Conference is just around the corner and this year again, the program is packed with opportunities to learn.
By registering for the conference, not only will you have full access to all talks, workshops, and Q&A sessions at this year's event, but you'll also gain instant access to all talks from last year's edition.
We've asked the speakers to tell me a few words about their sessions, here are some of the answers we've received.
Speaker: Pete Warden
TinyML for Fun and Profit
Speaker: Travis Collins
Software-Defined Radio: Principles and Applications
Speaker: Dan Boshen
WORKSHOP: Fast Track to Designing FIR Filters with Python
Speaker: Ric Losada
Convolution: A Practical Review
Speaker: Frantz Bouchereau
Data-Centric AI for Signal Processing Applications
Speaker: Peter McLaughlin
Introduction to Machine Learning and Deep Learning
Speaker: Matous Cejnek
Machine Learning with Python: Introduction to Clustering and Classification
Speaker: Laurent Le Faucheur
DSP/ML computing libraries for IoT
For more videos like this, simply go on the conference's website and navigate to the talks of interest.
We hope you'll join us next week! And If the registration fee is the main barrier to your participation, please feel free to reach out so we can offer you a discount - no engineer should miss this event because of budget issues.
Cheers!
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