9781617295645 - graph-powered machine learning di nego, alessandro (27 risultati)
- Brossura
Da: 2nd Life Books, Burlington, NJ, U.S.A.2nd Life Books
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 22,35
EUR 3,45 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: very_good. Used book in very good condition. May have some minor wear. May NOT include discs, or access code or other supplemental material. Ships directly from Amazon and is eligible for Prime or super saver FREE shipping. We ship Monday-Saturday and respond to inquiries within 24 hours.
- Brossura
Da: HPB-Ruby, Dallas, TX, U.S.A.HPB-Ruby
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 33,78
EUR 3,24 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
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.
- Brossura
Da: HPB-Red, Dallas, TX, U.S.A.HPB-Red
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 33,78
EUR 3,24 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
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.
- Brossura
Da: INDOO, Avenel, NJ, U.S.A.INDOO
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 45,35
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: As New. Unread copy in mint condition.
- Brossura
Da: INDOO, Avenel, NJ, U.S.A.INDOO
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 45,44
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Brand New.
- Brossura
Da: medimops, Berlin, Germaniamedimops
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 38,95
EUR 10,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 52,21
EUR 2,28 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: New.
- Brossura
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.Romtrade Corp.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,56
Spedizione gratuitaSpedito in U.S.A.Quantità: 2 disponibili
Condizione: 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.
- Brossura
Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,72
Spedizione gratuitaSpedito in U.S.A.Quantità: 5 disponibili
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
- Brossura
Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 55,42
Spedizione gratuitaSpedito in U.S.A.Quantità: 10 disponibili
Paperback. Condizione: New. At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally expressed as… graphs. Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You'll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you'll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls. Key Features · The lifecycle of a machine learning project · Three end-to-end applications · Graphs in big data platforms · Data source modeling · Natural language processing, recommendations, and relevant search · Optimization methods Readers comfortable with machine learning basics. About the technology By organizing and analyzing your data as graphs, your applications work more fluidly with graph-centric algorithms like nearest neighbor or page rank where it's important to quickly identify and exploit relevant relationships. Modern graph data stores, like Neo4j or Amazon Neptune, are readily available tools that support graph-powered machine learning. Alessandro Negro is a Chief Scientist at GraphAware. With extensive experience in software development, software architecture, and data management, he has been a speaker at many conferences, such as Java One, Oracle Open World, and Graph Connect. He holds a Ph.D. in Computer Science and has authored several publications on graph-based machine learning.
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 53,96
EUR 2,28 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: As New. Unread book in perfect condition.
- Brossura
Da: SMASS Sellers, IRVING, TX, U.S.A.SMASS Sellers
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 56,77
Spedizione gratuitaSpedito in U.S.A.Quantità: 2 disponibili
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 58,96
EUR 3,44 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New.
- Brossura
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 54,73
EUR 7,59 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New.
- Brossura
Da: GoldBooks, Denver, CO, U.S.A.GoldBooks
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 59,08
EUR 4,75 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. New Copy. Customer Service Guaranteed.
- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 56,92
EUR 6,86 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 11 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
- Brossura
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 65,33
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally e…xpressed as graphs. Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. Youll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, youll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls. Key Features The lifecycle of a machine learning project Three end-to-end applications Graphs in big data platforms Data source modeling Natural language processing, recommendations, and relevant search Optimization methods Readers comfortable with machine learning basics. About the technology By organizing and analyzing your data as graphs, your applications work more fluidly with graph-centric algorithms like nearest neighbor or page rank where its important to quickly identify and exploit relevant relationships. Modern graph data stores, like Neo4j or Amazon Neptune, are readily available tools that support graph-powered machine learning. Alessandro Negro is a Chief Scientist at GraphAware. With extensive experience in software development, software architecture, and data management, he has been a speaker at many conferences, such as Java One, Oracle Open World, and Graph Connect. He holds a Ph.D. in Computer Science and has authored several publications on graph-based machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Brossura
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 54,49
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New.
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 55,94
EUR 17,53 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
- Brossura
Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 57,39
EUR 43,15 spedizioneSpedito in U.S.A.Quantità: 10 disponibili
Paperback. Condizione: New. At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally expressed as… graphs. Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You'll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you'll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls. Key Features · The lifecycle of a machine learning project · Three end-to-end applications · Graphs in big data platforms · Data source modeling · Natural language processing, recommendations, and relevant search · Optimization methods Readers comfortable with machine learning basics. About the technology By organizing and analyzing your data as graphs, your applications work more fluidly with graph-centric algorithms like nearest neighbor or page rank where it's important to quickly identify and exploit relevant relationships. Modern graph data stores, like Neo4j or Amazon Neptune, are readily available tools that support graph-powered machine learning. Alessandro Negro is a Chief Scientist at GraphAware. With extensive experience in software development, software architecture, and data management, he has been a speaker at many conferences, such as Java One, Oracle Open World, and Graph Connect. He holds a Ph.D. in Computer Science and has authored several publications on graph-based machine learning.
- Brossura
- Edizione Internazionale
Da: UK BOOKS STORE, London, LONDO, Regno UnitoUK BOOKS STORE
Contatta il venditoreVenditore con 4 stelleEdizione InternazionaleCondizione: Usato
EUR 102,38
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Paperback. Condizione: New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will…be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
- Brossura
Da: Studibuch, Stuttgart, GermaniaStudibuch
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Ottimo
EUR 38,51
EUR 62,30 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
paperback. Condizione: Sehr gut. 503 Seiten; 9781617295645.2 Gewicht in Gramm: 1.
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 91,51
EUR 14,60 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: Brand New. 475 pages. 9.50x7.75x1.00 inches. In Stock.
- Brossura
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 56,95
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Über den AutorAlessandro Negro is a Chief Scientist at GraphAware. With extensive experience in software development, software architecture, and data management, he has been a speaker at many conferences, such as Java One, Oracle.
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 100,02
EUR 17,53 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: As New. Unread book in perfect condition.
- Brossura
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 102,32
EUR 31,93 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally e…xpressed as graphs. Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. Youll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, youll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls. Key Features The lifecycle of a machine learning project Three end-to-end applications Graphs in big data platforms Data source modeling Natural language processing, recommendations, and relevant search Optimization methods Readers comfortable with machine learning basics. About the technology By organizing and analyzing your data as graphs, your applications work more fluidly with graph-centric algorithms like nearest neighbor or page rank where its important to quickly identify and exploit relevant relationships. Modern graph data stores, like Neo4j or Amazon Neptune, are readily available tools that support graph-powered machine learning. Alessandro Negro is a Chief Scientist at GraphAware. With extensive experience in software development, software architecture, and data management, he has been a speaker at many conferences, such as Java One, Oracle Open World, and Graph Connect. He holds a Ph.D. in Computer Science and has authored several publications on graph-based machine learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Brossura
Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 179,90
EUR 39,95 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Condizione: gut. 2021. Graph-Powered Machine Learning In englischer Sprache. pages.
