Exploring the Challenges and Solutions of Deep Learning: An Introduction to the Fundamentals and Applications of Machine Learning

Daniel Huston

ISBN 13: 9798211309555
Editorial: Blurb, Inc. Jun 2023, 2023
Nuevos Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

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Neuware - Machine Learning for Absolute Beginners' is a book designed to introduce readers with no prior experience to the exciting and rapidly growing field of machine learning. Machine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions based on that learning.This book is written in a clear and approachable style, making it easy for readers to understand the core concepts and techniques of machine learning. It assumes no prior knowledge of the subject, and starts from the very basics, gradually building up the reader's understanding of the field.The book covers a wide range of topics, including data preprocessing, classification, regression, clustering, and deep learning. It also includes practical examples and hands-on exercises that allow readers to apply what they've learned and gain real-world experience in machine learning.Whether you are a student, a professional, or just someone interested in learning about machine learning, this book provides a solid foundation for understanding the fundamentals of this exciting field. By the end of the book, readers will have a strong understanding of the concepts and techniques of machine learning and will be well-equipped to tackle more advanced topics in the future. N° de ref. del artículo 9798211309555

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Sinopsis:

Machine Learning for Absolute Beginners" is a book designed to introduce readers with no prior experience to the exciting and rapidly growing field of machine learning. Machine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions based on that learning. This book is written in a clear and approachable style, making it easy for readers to understand the core concepts and techniques of machine learning. It assumes no prior knowledge of the subject, and starts from the very basics, gradually building up the reader's understanding of the field. The book covers a wide range of topics, including data preprocessing, classification, regression, clustering, and deep learning. It also includes practical examples and hands-on exercises that allow readers to apply what they've learned and gain real-world experience in machine learning. Whether you are a student, a professional, or just someone interested in learning about machine learning, this book provides a solid foundation for understanding the fundamentals of this exciting field. By the end of the book, readers will have a strong understanding of the concepts and techniques of machine learning and will be well-equipped to tackle more advanced topics in the future.

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Detalles bibliográficos

Título: Exploring the Challenges and Solutions of ...
Editorial: Blurb, Inc. Jun 2023
Año de publicación: 2023
Encuadernación: Taschenbuch
Condición: Neu

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Huston, Daniel
Publicado por Blurb, 2023
ISBN 13: 9798211309555
Antiguo o usado Tapa blanda

Librería: Buchpark, Trebbin, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 112 | Sprache: Englisch | Produktart: Bücher | Machine Learning for Absolute Beginners" is a book designed to introduce readers with no prior experience to the exciting and rapidly growing field of machine learning. Machine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions based on that learning.This book is written in a clear and approachable style, making it easy for readers to understand the core concepts and techniques of machine learning. It assumes no prior knowledge of the subject, and starts from the very basics, gradually building up the reader's understanding of the field.The book covers a wide range of topics, including data preprocessing, classification, regression, clustering, and deep learning. It also includes practical examples and hands-on exercises that allow readers to apply what they've learned and gain real-world experience in machine learning.Whether you are a student, a professional, or just someone interested in learning about machine learning, this book provides a solid foundation for understanding the fundamentals of this exciting field. By the end of the book, readers will have a strong understanding of the concepts and techniques of machine learning and will be well-equipped to tackle more advanced topics in the future. Nº de ref. del artículo: 42639211/2

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