We live in an age increasingly dominated by algorithms. As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Whether it's making loan decisions or re-routing traffic, machine learning models need to accurately reflect our shared values. In this course, we will explore the rise of algorithms, from the most basic to the fully-autonomous, and discuss how to make them more ethically sound.
À propos de ce cours
LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.
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Meilleurs avis pour ARTIFICIAL INTELLIGENCE ALGORITHMS MODELS AND LIMITATIONS
I learned more about AI and machine learning more than i have ever been exposed to my entire life, the lessons were thorough .
Very broad concepts but still engaging and thought provoking. This course focuses more on AI ethics rather than algorithms.
the course was great which me a proper understanding about how AI think and what are the consequences of AI
Its an excellent course, even for a beginner its very helpful and very much informative!
À propos du Spécialisation Ethics in the Age of AI
As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. In this specialization, we will explore the rise of algorithms, fundamental issues of fairness and bias in machine learning, and basic concepts involved in security and privacy of machine learning projects. We'll finish with a study of 3 projects that will allow you to put your new skills into action.
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