Angebote zu "Learning" (179 Treffer)

Deep Learning
€ 80.00 *
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Von drei Experten dieses Fachgebiets verfasst und das einzige umfassende deutsche Buch zu diesem Thema Behandelt alle mathematischen Grundlagen zu den Themen Deep Learning, Machine Learning, Künstliche Intelligenz und Neuronale Netze Mathematische und begriffliche Hintergrundinformationen und relevante Konzepte aus den Bereichen Lineare Algebra, Wahrscheinlichkeitsrechnung, Informationstheorie, Statistik und numerische Berechnung Deep Learning ist eine Form des Machine Learnings, die Computer in die Lage versetzt, aus Erfahrungen zu lernen und so die Welt als miteinander verbundene Ansammlung von hierarchischen Konzepten zu begreifen. Da der Computer Wissen aus der eigenen Erfahrung sammelt, muss kein Mensch mehr alle benötigten Kenntnisse formal eingeben. Die Hierarchie der Konzepte ermöglicht dem Computer das Erlernen komplexer Konzepte, indem er sie aus einfacheren Bausteinen zusammensetzt. Dabei besteht ein Graph dieser Hierarchien aus vielen Schichten. Dieses Buch behandelt eine Vielzahl von Themen rund um das Deep Learning. Es vermittelt dazu mathematische sowie begriffliche Hintergrundinformationen und stellt relevante Konzepte aus den Bereichen lineare Algebra, Wahrscheinlichkeitstheorie und Informationstheorie, numerische Berechnung und Machine Learning vor. Neben einer Beschreibung der in der Praxis genutzten Deep-Learning-Techniken - darunter tiefe Feedforward-Netze, Regularisierung, Optimierungsalgorithmen, konvolutionale Netze, Sequenzmodellierung und praxisorientierte Methodologie - werden auch Anwendungen wie Natural Language Processing, Spracherkennung, Computer Vision, Online-Empfehlungssysteme, Bioinformatik und Videospiele betrachtet. Außerdem bietet das Buch Einblicke in die Forschung und befasst sich dazu mit theoretischen Aspekten wie Linearfaktormodellen, Autoencodern, Representation Learning, strukturierten Wahrscheinlichkeitsmodellen, dem Monte-Carlo-Verfahren, der Partitionsfunktion und der näherungsweisen Inferenz. Deep Learning eignet sich für alle, die während des Bachelor- oder Master-Studiums ihre Laufbahn in Forschung oder Wirtschaft planen, aber auch für Softwareentwickler und Informatiker, die Deep Learning für eigene Produkte oder Plattformen einsetzen möchten. Die Website zum Buch bietet ergänzende Materialien für Leser und Lehrkräfte. Stimmen zum Buch Deep Learning ist - verfasst von drei Experten dieses Fachgebiets - das einzige umfassende Buch zu diesem Thema. - Elon Musk, Co-Chair von OpenAI; Mitgründer und CEO von Tesla und SpaceX

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Stand: Sep 25, 2018
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Machine Learning
€ 88.99 *
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A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

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Stand: Sep 25, 2018
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Machine Learning
€ 56.99 *
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This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.

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Stand: Oct 2, 2018
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Machine Learning
€ 43.99 *
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As one of the most comprehensive machine learning texts around, this book does justice to the field´s incredible richness, but without losing sight of the unifying principles. Peter Flach´s clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

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Stand: Oct 12, 2018
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Machine Learning
€ 13.99 *
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Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition-as well as some we don´t yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as ´´Big Data´´ has gotten bigger, the theory of machine learning-the foundation of efforts to process that data into knowledge-has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications.

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Stand: Sep 25, 2018
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Learning Processing
€ 36.99 *
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Learning Processing, Second Edition, is a friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages. Requiring no previous experience, this book is for the true programming beginner. It teaches the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization. Step-by-step examples, thorough explanations, hands-on exercises, and sample code, supports your learning curve. A unique lab-style manual, the book gives graphic and web designers, artists, and illustrators of all stripes a jumpstart on working with the Processing programming environment by providing instruction on the basic principles of the language, followed by careful explanations of select advanced techniques. The book has been developed with a supportive learning experience at its core. From algorithms and data mining to rendering and debugging, it teaches object-oriented programming from the ground up within the fascinating context of interactive visual media. This book is ideal for graphic designers and visual artists without programming background who want to learn programming. It will also appeal to students taking college and graduate courses in interactive media or visual computing, and for self-study. A friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages No previous experience required-this book is for the true programming beginner! Step-by-step examples, thorough explanations, hands-on exercises, and sample code supports your learning curve

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Stand: Sep 25, 2018
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Learning SPARQL
€ 27.99 *
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Gain hands-on experience with SPARQL, the RDF query language that?s bringing new possibilities to semantic web, linked data, and big data projects. This updated and expanded edition shows you how to use SPARQL 1.1 with a variety of tools to retrieve, manipulate, and federate data from the public web as well as from private sources. Author Bob DuCharme has you writing simple queries right away before providing background on how SPARQL fits into RDF technologies. Using short examples that you can run yourself with open source software, you?ll learn how to update, add to, and delete data in RDF datasets. * Get the big picture on RDF, linked data, and the semantic web * Use SPARQL to find bad data and create new data from existing data * Use datatype metadata and functions in your queries * Learn techniques and tools to help your queries run more efficiently * Use RDF Schemas and OWL ontologies to extend the power of your queries * Discover the roles that SPARQL can play in your applications

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Stand: Oct 6, 2018
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Learning Agile
€ 30.99 *
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Discusses the underlying principles of agile software development and describes four specific agile methods: Scrum, extreme programming (XP), Lean, and Kanban, which each focus on a different area of development.

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Stand: Oct 2, 2018
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Deep Learning
€ 66.99 *
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Anbieter: buecher.de
Stand: Oct 8, 2018
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Reinforcement Learning
€ 54.99 *
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Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field´s intellectual foundations to the most recent developments and applications.

Anbieter: buecher.de
Stand: Oct 7, 2018
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