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Cover of Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems
Philosophy · 19 min

Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

By Aurélien Géron

Machine learning is more than just code; it's a profound reflection of human decisions, biases, and aspirations. This episode explores how our data, choices, and oversight fundamentally shape these powerful systems, and why this human connection is crucial for navigating our intelligent world.

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Category
Philosophy
Duration
19 min
An excerpt

“Machine learning is more than just code; it's a profound reflection of human decisions, biases, and aspirations. This episode explores how our data, choices, and oversight fundamentally shape these powerful systems, and why this human connection is crucial for navigating our intelligent world.”

— Aurélien Géron, Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

What it is about

machine learning, ai ethics, algorithmic bias

Who it is for

Best suited to listeners who want a clearer working understanding of machine learning, ai ethics, algorithmic bias and better judgment in how they apply it.

The author

Aurélien Géron brings a credible and useful lens to machine learning, ai ethics, algorithmic bias, with enough subject command to make the book worth hearing.

About the author

Aurélien Géron

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