Machine learning artificial intelligence de joshi (30 resultados)

Condición: New.

Hardcover. Condición: Sehr gut. 1. Auflage. Unread book in excellent condition. Privately owned. Language - English. Ships from Berlin.

Paperback. Condición: New.

Condición: New. In English.

XXII, 261 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Hardcover. Condición: new. Hardcover. The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned.The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs. The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: New. pp. xxi + 271.

Condición: New.

Condición: New. pp. xxi + 271.

Condición: New. In English.

Condición: New. pp. xxi + 271.

Condición: As New. Unread book in perfect condition.

hardcover. Condición: new.

Hardcover. Condición: new. Hardcover. The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned.The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs. The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

paperback. Condición: New. Paperback. Pub Date: 2021-08-01 Pages: 206 Language: Chinese Publisher: Machinery Industry Press Machine Learning and Artificial Intelligence: From Theory to Practice combines theory and practice. and comprehensively introduces artificial intelligence and machine learning.?Machine Learning and Artificial Intelligence: From Theory to Practice is divided into six parts.?The first part introduces the concepts of artificial intelligence and machine learning in the modern context. their origin and.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build; train; and deploy intelligent applications using Java librariesKey Features:- Leverage the power of Java libraries to build smart applications- Build and train deep learning models for implementing artificial intelligence- Learn various algorithms to automate complex tasksBook Description:Artificial intelligence (AI) is increasingly in demand as well as relevant in the modern world; where everything is driven by technology and data. AI can be used for automating systems or processes to carry out complex tasks and functions in order to achieve optimal performance and productivity.Hands-On Artificial Intelligence with Java for Beginners begins by introducing you to AI concepts and algorithms. You will learn about various Java-based libraries and frameworks that can be used in implementing AI to build smart applications.In addition to this; the book teaches you how to implement easy to complex AI tasks; such as genetic programming; heuristic searches; reinforcement learning; neural networks; and segmentation; all with a practical approach.By the end of this book; you will not only have a solid grasp of AI concepts; but you'll also be able to build your own smart applications for multiple domains.What You Will Learn:- Leverage different Java packages and tools such as Weka; RapidMiner; and Deeplearning4j; among others- Build machine learning models using supervised and unsupervised machine learning techniques- Implement different deep learning algorithms in Deeplearning4j and build applications based on them- Study the basics of heuristic searching and genetic programming- Differentiate between syntactic and semantic similarity among texts- Perform sentiment analysis for effective decision making with LingPipeWho this book is for:Hands-On Artificial Intelligence with Java for Beginners is for Java developers who want to learn the fundamentals of artificial intelligence and extend their programming knowledge to build smarter applications.Table of Contents- Introduction to Artificial Intelligence and Java- Exploring Search- AI Games and Rule Based System- Interfacing with Weka- Handling Attributes- Supervised Learning- Semi-Supervised and Unsupervised Learning.…

Hardcover. Condición: Brand New. 2nd edition. 292 pages. 9.25x6.10x0.83 inches. In Stock. This item is printed on demand.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned.The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs. 296 pp. Englisch.…

Taschenbuch. Condición: Neu. Hands-On Artificial Intelligence with Java for Beginners | Build intelligent apps using machine learning and deep learning with Deeplearning4j | Nisheeth Joshi | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Packt Publishing | EAN 9781789537550 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned.The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rat.…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned.The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 296 pp. Englisch.…