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  4. 40 Algorithms Every Data Scientist Should Know

40 Algorithms Every Data Scientist Should Know

- 40 Algorithms Every Data Scientist Should Know
Af: Jurgen Weichenberger Engelsk Paperback

40 Algorithms Every Data Scientist Should Know

- 40 Algorithms Every Data Scientist Should Know
Af: Jurgen Weichenberger Engelsk Paperback
Tjek vores konkurrenters priser
Mastering AI and ML algorithms is essential for data scientists. This book covers a wide range of techniques, from supervised and unsupervised learning to deep learning and reinforcement learning. This book is a compass to the most important algorithms that every data scientist should have at their disposal when building a new AI/ML application. This book offers a thorough introduction to AI and ML, covering key concepts, data structures, and various algorithms like linear regression, decision trees, and neural networks. It explores learning techniques like supervised, unsupervised, and semi-supervised learning and applies them to real-world scenarios such as natural language processing and computer vision. With clear explanations, code examples, and detailed descriptions of 40 algorithms, including their mathematical foundations and practical applications, this resource is ideal for both beginners and experienced professionals looking to deepen their understanding of AI and ML.
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Tjek vores konkurrenters priser
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kr 431
Fragt: 39 kr
6 - 8 hverdage
20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser
Mastering AI and ML algorithms is essential for data scientists. This book covers a wide range of techniques, from supervised and unsupervised learning to deep learning and reinforcement learning. This book is a compass to the most important algorithms that every data scientist should have at their disposal when building a new AI/ML application. This book offers a thorough introduction to AI and ML, covering key concepts, data structures, and various algorithms like linear regression, decision trees, and neural networks. It explores learning techniques like supervised, unsupervised, and semi-supervised learning and applies them to real-world scenarios such as natural language processing and computer vision. With clear explanations, code examples, and detailed descriptions of 40 algorithms, including their mathematical foundations and practical applications, this resource is ideal for both beginners and experienced professionals looking to deepen their understanding of AI and ML.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 588
ISBN-13: 9789355519832
Indbinding: Paperback
Udgave:
ISBN-10: 9355519834
Kategori: Databehandling og informationsteknologi
Udg. Dato: 1 jun 2024
Længde: 28mm
Bredde: 195mm
Højde: 247mm
Forlag: BPB Publications
Oplagsdato: 1 jun 2024
Forfatter(e): Jurgen Weichenberger
Forfatter(e) Jurgen Weichenberger

Kategori Databehandling og informationsteknologi

ISBN-13 9789355519832

Sprog Engelsk

Indbinding Paperback

Sider 588

Udgave

Længde 28mm

Bredde 195mm

Højde 247mm

Udg. Dato 1 jun 2024

Oplagsdato 1 jun 2024

Forlag BPB Publications

Kategori sammenhænge