Machine learning: foundations, methodologies, and applications (45 Ergebnisse)

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Kartoniert / Broschiert. Zustand: New. Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon s.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon's Alexa may seem very complex and difficult to grasp. The aim ofArtificial Intelligence in Pythonis to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence.This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjectsin deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.…

Taschenbuch. Zustand: Neu. Artificial Intelligence with Python | Teik Toe Teoh (u. a.) | Taschenbuch | xiv | Englisch | 2023 | Springer | EAN 9789811693229 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New. Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience.Entering the field of artificial intelligence and data science can seem .

Taschenbuch. Zustand: 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.…

Buch. Zustand: 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.…

Taschenbuch. Zustand: 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.…

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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon¿s Alexa may seem very complex and difficult to grasp. The aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence.This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjectsin deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.…

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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 book¿s 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.…