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graph machine learning take di stamile claudio (19 risultati)
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Editore: Packt Publishing (edition ), 2021
ISBN 10: 1800204493 ISBN 13: 9781800204492
Lingua: Inglese
Da: BooksRun, Philadelphia, PA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Da: Dream Books Co., Denver, CO, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.
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paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Fair. No Jacket. Former library book; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Da: Swan Trading Company, GEORGETOWN, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
paperback. Condizione: Very Good. Softcover shows only light cover wear. Text is unmarked and binding tight. Ships FAST!
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paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Da: Textbooks_Source, Columbia, MO, U.S.A.
Valutazione del venditore 5 su 5 stelle
paperback. Condizione: New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms (Paperback or Softback)
Editore: Packt Publishing 6/25/2021, 2021
ISBN 10: 1800204493 ISBN 13: 9781800204492
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback or Softback. Condizione: New. Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms. Book.
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition.
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 51,47
EUR 13,57 per la spedizione da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Editore: Packt Publishing 2021-06-25, 2021
ISBN 10: 1800204493 ISBN 13: 9781800204492
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 49,73
EUR 17,54 per la spedizione da Regno Unito a U.S.A.Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 51,46
EUR 16,99 per la spedizione da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 57,38
EUR 16,99 per la spedizione da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Da: Mispah books, Redhill, SURRE, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 83,98
EUR 28,31 per la spedizione da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: New. New. book.
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 59,61
EUR 13,31 per la spedizione da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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EUR 66,55
EUR 70,00 per la spedizione da Germania a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Graph Machine Learning | Take graph data to the next level by applying machine learning techniques and algorithms | Claudio Stamile (u. a.) | Taschenbuch | Englisch | 2021 | Packt Publishing | EAN 9781800204492 | 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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EUR 75,28
EUR 63,17 per la spedizione da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build machine learning algorithms using graph data and efficiently exploit topological information within your models Key Features:Implement machine learning techniques and algorithms in graph data Identify the relationship between nodes in order to make better business decisions Apply graph-based machine learning methods to solve real-life problems Book Description: Graph Machine Learning will introduce you to a set of tools used for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks. The first chapters will introduce you to graph theory and graph machine learning, as well as the scope of their potential use. You'll then learn all you need to know about the main machine learning models for graph representation learning: their purpose, how they work, and how they can be implemented in a wide range of supervised and unsupervised learning applications. You'll build a complete machine learning pipeline, including data processing, model training, and prediction in order to exploit the full potential of graph data. After covering the basics, you'll be taken through real-world scenarios such as extracting data from social networks, text analytics, and natural language processing (NLP) using graphs and financial transaction systems on graphs. You'll also learn how to build and scale out data-driven applications for graph analytics to store, query, and process network information, and explore the latest trends on graphs. By the end of this machine learning book, you will have learned essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications. What You Will Learn:Write Python scripts to extract features from graphs Distinguish between the main graph representation learning techniques Learn how to extract data from social networks, financial transaction systems, for text analysis, and more Implement the main unsupervised and supervised graph embedding techniques Get to grips with shallow embedding methods, graph neural networks, graph regularization methods, and more Deploy and scale out your application seamlessly Who this book is for: This book is for data scientists, data analysts, graph analysts, and graph professionals who want to leverage the information embedded in the connections and relations between data points to boost their analysis and model performance using machine learning. It will also be useful for machine learning developers or anyone who wants to build ML-driven graph databases. A beginner-level understanding of graph databases and graph data is required, alongside a solid understanding of ML basics. You'll also need intermediate-level Python programming knowledge to get started with this book.
