This book is a valuable resource for anyone interested in understanding the fundamental concepts and techniques underlying machine learning. Here are some key reasons to consider reading it:Solid Foundation: The book provides a comprehensive overview of the essential building blocks of machine learning, including statistical concepts, algorithms, and techniques. This makes it ideal for beginners or those looking to solidify their understanding.Practical Applications: While focusing on theoretical concepts, the book also demonstrates how these concepts can be applied to real-world problems. This helps readers connect theory with practice and understand the relevance of machine learning in various domains.Stay Updated: Machine learning is a rapidly evolving field. By reading this book, you can stay updated with the latest developments and trends. It can help you understand the underlying principles of new technique.
"Sinopsis" puede pertenecer a otra edición de este libro.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: L2-9786208172077
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: L2-9786208172077
Cantidad disponible: Más de 20 disponibles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9786208172077_new
Cantidad disponible: Más de 20 disponibles
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 100 pp. Englisch. Nº de ref. del artículo: 9786208172077
Cantidad disponible: 2 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 26404032414
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand. Nº de ref. del artículo: 409121857
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18404032404
Cantidad disponible: 4 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. THE BUILDING BLOCKS OF MACHINE LEARNING | Kavitha R (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208172077 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Nº de ref. del artículo: 130341334
Cantidad disponible: 5 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a valuable resource for anyone interested in understanding the fundamental concepts and techniques underlying machine learning. Here are some key reasons to consider reading it:Solid Foundation: The book provides a comprehensive overview of the essential building blocks of machine learning, including statistical concepts, algorithms, and techniques. This makes it ideal for beginners or those looking to solidify their understanding.Practical Applications: While focusing on theoretical concepts, the book also demonstrates how these concepts can be applied to real-world problems. This helps readers connect theory with practice and understand the relevance of machine learning in various domains.Stay Updated: Machine learning is a rapidly evolving field. By reading this book, you can stay updated with the latest developments and trends. It can help you understand the underlying principles of new technique.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Nº de ref. del artículo: 9786208172077
Cantidad disponible: 1 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering. Nº de ref. del artículo: 9786208172077
Cantidad disponible: 1 disponibles