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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Edité par Springer International Publishing, Springer Nature Switzerland, 2024
ISBN 10 : 303102365X ISBN 13 : 9783031023651
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 client provides me Gig and Terabytes of data for developing analytic models How do I handle high-frequency dynamic datasets This book provides the practitioner with a consolidation of the entire data science process in a single 'Cheat Sheet'.The challenge for a data scientistis to extract meaningful information from huge datasets that will help to create better strategies for businesses. Many Machine Learning algorithms and Neural Networks are designedto do analytics on such datasets. For a data scientist, it is a daunting decision as to which algorithm to use for a given dataset. Although there is no single answer to this question, a systematic approach to problem solving is necessary. This book describes the various ML algorithms conceptually and defines/discusses a process in the selection of ML/DL models. The consolidation of available algorithms and techniques for designing efficient ML models is the key aspect of this book.Thinking Data Sciencewill helppractising data scientists, academicians, researchers, and students who want to build ML models using theappropriate algorithms and architectures, whether the data be small or big.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 74,42
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Vendeur : Best Price, Torrance, CA, Etats-Unis
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Ajouter au panierEtat : New. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierHardcover. Etat : Brand New. 378 pages. 9.25x6.10x0.88 inches. In Stock.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 74,56
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Ajouter au panierHardcover. Etat : Brand New. 378 pages. 9.25x6.10x0.88 inches. In Stock. This item is printed on demand.