Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/1957
Title: | Building Intelligent Systems |
Other Titles: | A Guide to Machine Learning Engineering / |
Authors: | Hulten, Geoff. ; author. ; |
subject: | Computer Science;Computers;Computer Science;Computing Methodologies. ;;Big Data. ; |
Year: | 2018 |
place: | Berkeley, CA : |
Publisher: | Apress : Imprint: Apress, |
Abstract: | Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You’ll Learn: 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. ; |
Description: | Printed edition: ; 9781484234310 ; SpringerLink (Online service) ; QA75.5-76.95 ; |
URI: | http://localhost/handle/Hannan/1957 |
More Information: | XXVI, 339 p. 19 illus. ; online resource. ; |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484234327.pdf | 3.48 MB | Adobe PDF | Preview File |
Title: | Building Intelligent Systems |
Other Titles: | A Guide to Machine Learning Engineering / |
Authors: | Hulten, Geoff. ; author. ; |
subject: | Computer Science;Computers;Computer Science;Computing Methodologies. ;;Big Data. ; |
Year: | 2018 |
place: | Berkeley, CA : |
Publisher: | Apress : Imprint: Apress, |
Abstract: | Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You’ll Learn: 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. ; |
Description: | Printed edition: ; 9781484234310 ; SpringerLink (Online service) ; QA75.5-76.95 ; |
URI: | http://localhost/handle/Hannan/1957 |
More Information: | XXVI, 339 p. 19 illus. ; online resource. ; |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484234327.pdf | 3.48 MB | Adobe PDF | Preview File |
Title: | Building Intelligent Systems |
Other Titles: | A Guide to Machine Learning Engineering / |
Authors: | Hulten, Geoff. ; author. ; |
subject: | Computer Science;Computers;Computer Science;Computing Methodologies. ;;Big Data. ; |
Year: | 2018 |
place: | Berkeley, CA : |
Publisher: | Apress : Imprint: Apress, |
Abstract: | Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You’ll Learn: 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. ; |
Description: | Printed edition: ; 9781484234310 ; SpringerLink (Online service) ; QA75.5-76.95 ; |
URI: | http://localhost/handle/Hannan/1957 |
More Information: | XXVI, 339 p. 19 illus. ; online resource. ; |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484234327.pdf | 3.48 MB | Adobe PDF | Preview File |