Thinking Data Science : A Data Science Practitioner's Guide /

This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the clie...

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Bibliographic Details

Main Author:	Sarang, Poornachandra (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Series:	The Springer Series in Applied Machine Learning,
Subjects:	Machine learning. Artificial intelligence-Data processing. Artificial intelligence. Machine Learning. Data Science. Artificial Intelligence. Electronic books.
Online Access:	Connect to the full text of this electronic book