Machine Learning Foundations Prototyping on the Edge

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17-05-2023, 05:19
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  • Machine Learning Foundations Prototyping on the Edge
    Released 5/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 21m | Size: 241 MB
    As AI and compute power continue to grow, so does the need and opportunity for decentralized intelligence or intelligence "on the edge." Prototyping allows product designers, product managers, and developers to focus on exploring product ideas, without a deep knowledge of theory, and tools and hardware now available make this possible. In this course, technologist, designer, and speaker Robert Gallup guides you through the process of prototyping machine learning on the edge. Robert begins with an overview of machine learning, including machine learning elements, workflow, and ethics. Next, he then discusses prototyping, and presents a scenario and plan for the voice recognition prototype developed in the course. Robert then walks you through how to prepare software and hardware, as well as how to define, train, and deploy a machine learning model. Finally, he shows you how to extend your prototype and discusses considerations in making the move from prototype to production.

Machine Learning Foundations Prototyping on the Edge
Released 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 21m | Size: 241 MB
As AI and compute power continue to grow, so does the need and opportunity for decentralized intelligence or intelligence "on the edge." Prototyping allows product designers, product managers, and developers to focus on exploring product ideas, without a deep knowledge of theory, and tools and hardware now available make this possible. In this course, technologist, designer, and speaker Robert Gallup guides you through the process of prototyping machine learning on the edge. Robert begins with an overview of machine learning, including machine learning elements, workflow, and ethics. Next, he then discusses prototyping, and presents a scenario and plan for the voice recognition prototype developed in the course. Robert then walks you through how to prepare software and hardware, as well as how to define, train, and deploy a machine learning model. Finally, he shows you how to extend your prototype and discusses considerations in making the move from prototype to production.


https://www.linkedin.com/learning/machine-learning-foundations-prototyping-on-the-edge



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