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Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success
Design an intelligent user experience: Produce data to help make the Intelligent System better over time
Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice
Create intelligence: Use different approaches, including machine learning
Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want
Who This Book Is For
Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems
Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success
Design an intelligent user experience: Produce data to help make the Intelligent System better over time
Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice
Create intelligence: Use different approaches, including machine learning
Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want
Who This Book Is For
Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems
Geoff Hulten is a Machine Learning Scientist and PhD in machine learning. He has managed applied machine learning teams for over a decade, building dozens of Internet-scale Intelligent Systems that have hundreds of millions of interactions with users every day. His research has appeared in top international conferences, received thousands of citations, and won a SIGKDD Test of Time award for influential contributions to the data mining research community that have stood the test of time.
Teaches you how to craft experiences that collect the data needed to evaluate and grow intelligence
Describes how to design a system to take over model production from humans once the creation process has become reasonably routine
| Erscheinungsjahr: | 2018 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 368 |
| Inhalt: |
xxvi
339 S. 19 s/w Illustr. 339 p. 19 illus. |
| ISBN-13: | 9781484234310 |
| ISBN-10: | 1484234316 |
| Sprache: | Englisch |
| Herstellernummer: | 978-1-4842-3431-0 |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Hulten, Geoff |
| Auflage: | 1st ed. |
| Hersteller: |
Apress
Apress L.P. |
| Maße: | 254 x 178 x 20 mm |
| Von/Mit: | Geoff Hulten |
| Erscheinungsdatum: | 07.03.2018 |
| Gewicht: | 0,692 kg |
Geoff Hulten is a Machine Learning Scientist and PhD in machine learning. He has managed applied machine learning teams for over a decade, building dozens of Internet-scale Intelligent Systems that have hundreds of millions of interactions with users every day. His research has appeared in top international conferences, received thousands of citations, and won a SIGKDD Test of Time award for influential contributions to the data mining research community that have stood the test of time.
Teaches you how to craft experiences that collect the data needed to evaluate and grow intelligence
Describes how to design a system to take over model production from humans once the creation process has become reasonably routine
| Erscheinungsjahr: | 2018 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 368 |
| Inhalt: |
xxvi
339 S. 19 s/w Illustr. 339 p. 19 illus. |
| ISBN-13: | 9781484234310 |
| ISBN-10: | 1484234316 |
| Sprache: | Englisch |
| Herstellernummer: | 978-1-4842-3431-0 |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Hulten, Geoff |
| Auflage: | 1st ed. |
| Hersteller: |
Apress
Apress L.P. |
| Maße: | 254 x 178 x 20 mm |
| Von/Mit: | Geoff Hulten |
| Erscheinungsdatum: | 07.03.2018 |
| Gewicht: | 0,692 kg |
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