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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Autore principale:	Sarang, Poornachandra (Autore)
Ente Autore:	SpringerLink (Online service)
Natura:	Elettronico eBook
Lingua:	inglese
Pubblicazione:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Edizione:	1st ed. 2023.
Serie:	The Springer Series in Applied Machine Learning,
Soggetti:	Machine learning. Artificial intelligence > Data processing. Artificial intelligence. Machine Learning. Data Science. Artificial Intelligence.
Accesso online:	https://doi.org/10.1007/978-3-031-02363-7
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