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The TensorFlow Workshop Cover

The TensorFlow Workshop

A hands-on guide to building deep learning models from scratch using real-world datasets

Paid access
|Dec 2021

Authors

Moocarme Matthew :

Matthew Moocarme is an accomplished data scientist with more than eight years of experience in creating and utilizing machine learning models. He comes from a background in the physical sciences, in which he holds a Ph.D. in physics from the Graduate Center of CUNY. Currently, he leads a team of data scientists and engineers in the media and advertising space to build and integrate machine learning models for a variety of applications. In his spare time, Matthew enjoys sharing his knowledge with the data science community through published works, conference presentations, and workshops.Bagchi Abhranshu :

Contacted by Sneha Shinde on Jan 28, 2020So Anthony :

Anthony So is a renowned leader in data science. He has extensive experience in solving complex business problems using advanced analytics and AI in different industries including financial services, media, and telecommunications. He is currently the chief data officer of one of the most innovative fintech start-ups. He is also the author of several best-selling books on data science, machine learning, and deep learning. He has won multiple prizes at several hackathon competitions, such as Unearthed, GovHack, and Pepper Money. Anthony holds two master's degrees, one in computer science and the other in data science and innovation.Maddalone Anthony :

Anthony Maddalone is a research engineer at TieSet, a Silicon Valley-based leader in distributed artificial intelligence and federated learning. He is a former founder and CEO of a successful start-up. Anthony lives with his wife and two children in Colorado, where they enjoy spending time outdoors. He is also a master's candidate in analytics with a focus on industrial engineering at the Georgia Institute of Technology.

PDF ISBN: 978-1-80020-022-7
Publisher: Packt Publishing Limited
Copyright owner: © 2021 Packt Publishing Limited
Publication date: 2021
Language: English
Pages: 600

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