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Machine Learning Applications by Wlodarczak Peter (28 results)
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Condition: New.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Machine Learning and its Applications
Published by Taylor & Francis Ltd, 2021
ISBN 10: 1032086777 ISBN 13: 9781032086774
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
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Machine Learning and Its Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Machine Learning and Its Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. 204 pages. 9.21x6.14x0.47 inches. In Stock.
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Condition: New. Biography:Peter Wlodarczak is an IT consultant in Data Analytics and Machine Learning. Born in Basel, Switzerland, he holds a Master degree and a PhD from the University of Southern Queensland, Australia. He has many years of experience in large s.
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Machine Learning and its Applications
Published by Taylor & Francis Ltd Jun 2021, 2021
ISBN 10: 1032086777 ISBN 13: 9781032086774
Language: English
Taschenbuch. Condition: Neu. Neuware - This book describes Machine Learning techniques and algorithms that have been used in recent real-world application. It provides an introduction to Machine Learning, describes the most widely used techniques and methods. It also covers Deep Learning and related areas such as function approximation or.
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Condition: New.
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Machine Learning and its Applications (Hardcover)
Published by Taylor & Francis Ltd, London, 2019
ISBN 10: 1138328227 ISBN 13: 9781138328228
Language: English
Hardcover. Condition: new. Hardcover. In recent years, machine learning has gained a lot of interest. Due to the advances in processor technology and the availability of large amounts of data, machine learning techniques have provided astounding results in areas such as object recognition or natural language processing. New approaches, e.g. deep learning, have provided groundbreaking outcomes in fields such as multimedia mining or voice recognition. Machine learning is now used in virtually every domain and deep learning algorithms are present in many devices such as smartphones, cars, drones, healthcare equipment, or smart home devices. The Internet, cloud computing and the Internet of Things produce a tsunami of data and machine learning provides the methods to effectively analyze the data and discover actionable knowledge.This book describes the most common machine learning techniques such as Bayesian models, support vector machines, decision tree induction, regression analysis, and recurrent and convolutional neural networks. It first gives an introduction into the principles of machine learning. It then covers the basic methods including the mathematical foundations. The biggest part of the book provides common machine learning algorithms and their applications. Finally, the book gives an outlook into some of the future developments and possible new research areas of machine learning and artificial intelligence in general.This book is meant to be an introduction into machine learning. It does not require prior knowledge in this area. It covers some of the basic mathematical principle but intends to be understandable even without a background in mathematics. It can be read chapter wise and intends to be comprehensible, even when not starting in the beginning. Finally, it also intends to be a reference book.Key Features:Describes real world problems that can be solved using Machine LearningProvides methods for directly applying Machine Learning techniques to concrete real world problemsDemonstrates how to apply Machine Learning techniques using different frameworks such as TensorFlow, MALLET, R This book describes Machine Learning techniques and algorithms that have been used in recent real-world application. It provides an introduction to Machine Learning, describes the most widely used techniques and methods. It also covers Deep Learning and related areas such as function approximation or. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New.
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Machine Learning and Its Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 244.41
US$ 19.72 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: New.
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Machine Learning and its Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 272.21
US$ 15.75 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Machine Learning and Its Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 270.39
US$ 19.72 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Machine Learning and its Applications (Hardcover)
Published by Taylor & Francis Ltd, London, 2019
ISBN 10: 1138328227 ISBN 13: 9781138328228
Language: English
Hardcover. Condition: new. Hardcover. In recent years, machine learning has gained a lot of interest. Due to the advances in processor technology and the availability of large amounts of data, machine learning techniques have provided astounding results in areas such as object recognition or natural language processing. New approaches, e.g. deep learning, have provided groundbreaking outcomes in fields such as multimedia mining or voice recognition. Machine learning is now used in virtually every domain and deep learning algorithms are present in many devices such as smartphones, cars, drones, healthcare equipment, or smart home devices. The Internet, cloud computing and the Internet of Things produce a tsunami of data and machine learning provides the methods to effectively analyze the data and discover actionable knowledge.This book describes the most common machine learning techniques such as Bayesian models, support vector machines, decision tree induction, regression analysis, and recurrent and convolutional neural networks. It first gives an introduction into the principles of machine learning. It then covers the basic methods including the mathematical foundations. The biggest part of the book provides common machine learning algorithms and their applications. Finally, the book gives an outlook into some of the future developments and possible new research areas of machine learning and artificial intelligence in general.This book is meant to be an introduction into machine learning. It does not require prior knowledge in this area. It covers some of the basic mathematical principle but intends to be understandable even without a background in mathematics. It can be read chapter wise and intends to be comprehensible, even when not starting in the beginning. Finally, it also intends to be a reference book.Key Features:Describes real world problems that can be solved using Machine LearningProvides methods for directly applying Machine Learning techniques to concrete real world problemsDemonstrates how to apply Machine Learning techniques using different frameworks such as TensorFlow, MALLET, R This book describes Machine Learning techniques and algorithms that have been used in recent real-world application. It provides an introduction to Machine Learning, describes the most widely used techniques and methods. It also covers Deep Learning and related areas such as function approximation or. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Hardcover. Condition: Brand New. 188 pages. 9.25x6.25x0.50 inches. In Stock.
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Einband - fest (Hardcover). Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Biography:Peter Wlodarczak is an IT consultant in Data Analytics and Machine Learning. Born in Basel, Switzerland, he holds a Master degree and a PhD from the University of Southern Queensland, Australia. He has many years of experience in large s.
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Hardcover. Condition: Brand New. 188 pages. 9.25x6.25x0.50 inches. In Stock. This item is printed on demand.
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Buch. Condition: Neu. Machine Learning and its Applications | Peter Wlodarczak | Buch | Einband - fest (Hardcover) | Englisch | 2019 | CRC Press | EAN 9781138328228 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes Machine Learning techniques and algorithms that have been used in recent real-world application. It provides an introduction to Machine Learning, describes the most widely used techniques and methods. It also covers Deep Learning and related areas such as function approximation or.
