Building Machine Learning Powered Applications: Going from Idea to Product
Building Machine Learning Powered Applications offers a practical perspective on transforming machine learning ideas into products. Emmanuel Ameisen guides readers through the journey from concept to application, making this a useful resource for anyone interested in building and delivering software powered by machine learning.
About This Book
Building Machine Learning Powered Applications explores the process of moving from a machine learning idea to a finished product.
Emmanuel Ameisen presents the subject for readers interested in developing applications powered by machine learning.
The book focuses on the path from concept to product, connecting machine learning work with practical application building.
It is suited to readers seeking a product-oriented introduction to creating machine learning applications.
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