ISBN: 9789811681950 - machine learning: the basics (machine learning: foundations, methodologies, and applications) (20 resultados)

Paperback. Condición: new. Paperback. Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. This book approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting a model of a given data-generating phenomenon by minimizing some form of loss incurred by its predictions. The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast range of ready-made ML methods.The books three-component approach to ML provides uniform coverage of a wide range of concepts and techniques. As a case in point, techniques for regularization, privacy-preservation as well as explainability amount tospecific design choices for the model, data, and loss of a ML method. The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast range of ready-made ML methods.The books three-component approach to ML provides uniform coverage of a wide range of concepts and techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Condición: New.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 229 pages. 9.25x6.10x0.63 inches. In Stock.

Kartoniert / Broschiert. Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning (ML) has become a commonplace element in our everyday lives and astandard tool for many fields of science and engineering. To make optimal use of ML, it isessential to understand its underlying principles.This book approaches ML as the computational implementation of the scientific principle.This principle consists of continuously adapting a model of a given data-generatingphenomenon by minimizing some form of loss incurred by its predictions.The book trains readers to break down various ML applications and methods in terms ofdata, model, and loss, thus helping them to choose from the vast range of ready-made ML methods.The book's three-component approach to ML provides uniform coverage of a wide range ofconcepts and techniques. As a case in point, techniques for regularization, privacy-preservationas well as explainability amount tospecific design choices for the model, data, and loss of a ML method.…

Paperback. Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Taschenbuch. Condición: Neu. Machine Learning | The Basics | Alexander Jung | Taschenbuch | Machine Learning: Foundations, Methodologies, and Applications | xvii | Englisch | 2023 | Springer | EAN 9789811681950 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Condición: new. Paperback. Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. This book approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting a model of a given data-generating phenomenon by minimizing some form of loss incurred by its predictions. The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast range of ready-made ML methods.The books three-component approach to ML provides uniform coverage of a wide range of concepts and techniques. As a case in point, techniques for regularization, privacy-preservation as well as explainability amount tospecific design choices for the model, data, and loss of a ML method. The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast range of ready-made ML methods.The books three-component approach to ML provides uniform coverage of a wide range of concepts and techniques. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning (ML) has become a commonplace element in our everyday lives and astandard tool for many fields of science and engineering. To make optimal use of ML, it isessential to understand its underlying principles.This book approaches ML as the computational implementation of the scientific principle.This principle consists of continuously adapting a model of a given data-generatingphenomenon by minimizing some form of loss incurred by its predictions.The book trains readers to break down various ML applications and methods in terms ofdata, model, and loss, thus helping them to choose from the vast range of ready-made ML methods.The book's three-component approach to ML provides uniform coverage of a wide range ofconcepts and techniques. As a case in point, techniques for regularization, privacy-preservationas well as explainability amount to specific design choices for the model, data, and loss of a ML method. 232 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch.…