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In today's world of big data & machine learning, insightful tools are being created like never before. However, not everyone has the requisite skills or background to jump right into building & training models in PyTorch or TensorFlow. This overview helps democratize AI/ML for all developers, introducing concepts and the standard workflow. If you're new to this exciting topic, Google Cloud's AI/ML "building block" APIs are one of the best ways to get started, meaning that as a developer, if you can call an API, you can leverage the power of machine learning.
Developer Advocate, Google Cloud
WESLEY CHUN is the author of Prentice Hall's bestselling "Core Python" series, co-author of "Python Web Development with Django" (withdjango.com), and has written for Linux Journal, CNET, and InformIT. He is currently an engineer & Sr. Developer Advocate at Google focused on Goo…
WESLEY CHUN is the author of Prentice Hall's bestselling "Core Python" series, co-author of "Python Web Development with Django" (withdjango.com), and has written for Linux Journal, CNET, and InformIT. He is currently an engineer & Sr. Developer Advocate at Google focused on Google Cloud serverless, machine learning, higher education, and Google Workspace (Gmail, Google Drive, Calendar, Docs, Sheets & Slides) APIs. When Wesley is not traveling to meet developers worldwide at conferences, user group events, and universities, he is a host of the Serverless Migration Station (bit.ly/3xk2Swi) and Google Workspace (formerly G Suite) Dev Show (goo.gl/JpBQ40) video series. He has several decades of programming, teaching, and writing experience, runs a consultancy in Python training, and was one of the original Yahoo!Mail engineers. Wesley holds degrees in Computer Science, Mathematics, and Music from the University of California and is a Fellow of the Python Software Foundation. Follow he/him on Twitter @wescpy (twitter.com/wescpy).
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