milanpham689
27 marzo 2025, 05:13
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Linkedin - Responsible AI and Application Development
Released 03/2025
With Laurence Moroney
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 37m 55s | Size: 292 MB
Learn all of the steps of creating an AI application with machine learning (ML), ensuring fairness and mitigating biases throughout the process.
Course details
In this course, award-winning AI researcher Laurence Moroney guides you through how to ensure responsible and ethical AI development. Learn how to collect and preprocess data in ways that maintain privacy and reduce biases. Discover advanced techniques in data augmentation that enhance your datasets while safeguarding against introducing unfairness. Dive into optimizing neural network architectures and learn how to identify and mitigate potential biases in your loss functions and optimization strategies. Explore transfer learning and how to assess and address inherited biases from pre-trained models. By focusing on ethical AI, you can build systems that not only perform well but also serve all user demographics fairly.
Homepage:
https://www.linkedin.com/learning/responsible-ai-and-application-development
https://i124.fastpic.org/big/2024/1128/88/423b519448d4e936894130c701f35288.jpg
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No Password - Links are Interchangeable
Linkedin - Responsible AI and Application Development
Released 03/2025
With Laurence Moroney
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 37m 55s | Size: 292 MB
Learn all of the steps of creating an AI application with machine learning (ML), ensuring fairness and mitigating biases throughout the process.
Course details
In this course, award-winning AI researcher Laurence Moroney guides you through how to ensure responsible and ethical AI development. Learn how to collect and preprocess data in ways that maintain privacy and reduce biases. Discover advanced techniques in data augmentation that enhance your datasets while safeguarding against introducing unfairness. Dive into optimizing neural network architectures and learn how to identify and mitigate potential biases in your loss functions and optimization strategies. Explore transfer learning and how to assess and address inherited biases from pre-trained models. By focusing on ethical AI, you can build systems that not only perform well but also serve all user demographics fairly.
Homepage:
https://www.linkedin.com/learning/responsible-ai-and-application-development
https://i124.fastpic.org/big/2024/1128/88/423b519448d4e936894130c701f35288.jpg
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sugwb.Linkedin..Responsible.AI.and.Application.Dev elopment.rar.html (https://ausfile.com/era03ghjzpii/sugwb.Linkedin..Responsible.AI.and.Application.Dev elopment.rar.html)
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No Password - Links are Interchangeable