東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Building intelligent systems = a gui...

Hulten, Geoff.

Linked to FindBook

Google Book

Amazon

博客來

Building intelligent systems = a guide to machine learning engineering /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Building intelligent systems/ by Geoff Hulten.
Reminder of title:	a guide to machine learning engineering /
Author:	Hulten, Geoff.
Published:	Berkeley, CA :Apress : : 2018.,
Description:	xxvi, 339 p. :ill., digital ;24 cm.
[NT 15003449]:	Part 1: Approaching an Intelligent System Project -- Chapter 1: Introducing Intelligent Systems -- Chapter 2: Knowing When to Use Intelligent Systems -- Chapter 3: A Brief Refresher on Working with Data -- Chapter 4: Defining the Intelligent System's Goals -- Part 2: Intelligent Experiences -- Chapter 5: The Components of Intelligent Experiences -- Chapter 6: Why Creating Intelligence Experiences Is Hard -- Chapter 7: Balancing Intelligent Experiences -- Chapter 8: Modes of Intelligent Interaction -- Chapter 9: Getting Data from Experience -- Chapter 10: Verifying Intelligent Experiences -- Part 3: Implementing Intelligence -- Chapter 11: The Components of an Intelligence Implementation -- Chapter 12: The Intelligence Runtime -- Chapter 13: Where Intelligence Lives -- Chapter 14: Intelligence Management -- Chapter 15: Intelligent Telemetry -- Part 4: Creating Intelligence -- Chapter 16: Overview of Intelligence -- Chapter 17: Representing Intelligence -- Chapter 18: The Intelligence Creation Process -- Chapter 19: Evaluating Intelligence -- Chapter 20: Machine Learning Intelligence -- Chapter 21: Organizing Intelligence -- Part 5: Orchestrating Intelligent Systems -- Chapter 22: Overview of Intelligence Orchestration -- Chapter 23: The Intelligence Orchestration Environment -- Chapter 24: Dealing with Mistakes -- Chapter 25: Adversaries and Abuse -- Chapter 26: Approaching Your Own Intelligent System.
Contained By:	Springer eBooks
Subject:	Intelligent agents (Computer software) -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-3432-7
ISBN:	9781484234327

Building intelligent systems = a guide to machine learning engineering /
Hulten, Geoff.

Building intelligent systemsa guide to machine learning engineering /[electronic resource] :by Geoff Hulten. - Berkeley, CA :Apress :2018. - xxvi, 339 p. :ill., digital ;24 cm.

Part 1: Approaching an Intelligent System Project -- Chapter 1: Introducing Intelligent Systems -- Chapter 2: Knowing When to Use Intelligent Systems -- Chapter 3: A Brief Refresher on Working with Data -- Chapter 4: Defining the Intelligent System's Goals -- Part 2: Intelligent Experiences -- Chapter 5: The Components of Intelligent Experiences -- Chapter 6: Why Creating Intelligence Experiences Is Hard -- Chapter 7: Balancing Intelligent Experiences -- Chapter 8: Modes of Intelligent Interaction -- Chapter 9: Getting Data from Experience -- Chapter 10: Verifying Intelligent Experiences -- Part 3: Implementing Intelligence -- Chapter 11: The Components of an Intelligence Implementation -- Chapter 12: The Intelligence Runtime -- Chapter 13: Where Intelligence Lives -- Chapter 14: Intelligence Management -- Chapter 15: Intelligent Telemetry -- Part 4: Creating Intelligence -- Chapter 16: Overview of Intelligence -- Chapter 17: Representing Intelligence -- Chapter 18: The Intelligence Creation Process -- Chapter 19: Evaluating Intelligence -- Chapter 20: Machine Learning Intelligence -- Chapter 21: Organizing Intelligence -- Part 5: Orchestrating Intelligent Systems -- Chapter 22: Overview of Intelligence Orchestration -- Chapter 23: The Intelligence Orchestration Environment -- Chapter 24: Dealing with Mistakes -- Chapter 25: Adversaries and Abuse -- Chapter 26: Approaching Your Own Intelligent System.

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.

ISBN: 9781484234327

Standard No.: 10.1007/978-1-4842-3432-7doiSubjects--Topical Terms:

567546
Intelligent agents (Computer software)

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.3

Building intelligent systems = a guide to machine learning engineering /
LDR:03658nmm a2200325 a 4500 001 2137274
003 DE-He213
005 20180306135453.0
006 m d
007 cr nn 008maaau
008 181117s2018 cau s 0 eng d
020 $a 9781484234327 $q (electronic bk.)
020 $a 9781484234310 $q (paper)
024 7 $a 10.1007/978-1-4842-3432-7 $2 doi
035 $a 978-1-4842-3432-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.I58
072 7 $a UMA $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a COM018000 $2 bisacsh
082 0 4 $a 006.3 $2 23
090 $a QA76.76.I58 $b H917 2018
100 1 $a Hulten, Geoff. $3 3309466
245 1 0 $a Building intelligent systems $h [electronic resource] : $b a guide to machine learning engineering / $c by Geoff Hulten.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a xxvi, 339 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part 1: Approaching an Intelligent System Project -- Chapter 1: Introducing Intelligent Systems -- Chapter 2: Knowing When to Use Intelligent Systems -- Chapter 3: A Brief Refresher on Working with Data -- Chapter 4: Defining the Intelligent System's Goals -- Part 2: Intelligent Experiences -- Chapter 5: The Components of Intelligent Experiences -- Chapter 6: Why Creating Intelligence Experiences Is Hard -- Chapter 7: Balancing Intelligent Experiences -- Chapter 8: Modes of Intelligent Interaction -- Chapter 9: Getting Data from Experience -- Chapter 10: Verifying Intelligent Experiences -- Part 3: Implementing Intelligence -- Chapter 11: The Components of an Intelligence Implementation -- Chapter 12: The Intelligence Runtime -- Chapter 13: Where Intelligence Lives -- Chapter 14: Intelligence Management -- Chapter 15: Intelligent Telemetry -- Part 4: Creating Intelligence -- Chapter 16: Overview of Intelligence -- Chapter 17: Representing Intelligence -- Chapter 18: The Intelligence Creation Process -- Chapter 19: Evaluating Intelligence -- Chapter 20: Machine Learning Intelligence -- Chapter 21: Organizing Intelligence -- Part 5: Orchestrating Intelligent Systems -- Chapter 22: Overview of Intelligence Orchestration -- Chapter 23: The Intelligence Orchestration Environment -- Chapter 24: Dealing with Mistakes -- Chapter 25: Adversaries and Abuse -- Chapter 26: Approaching Your Own Intelligent System.
520 $a 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.
650 0 $a Intelligent agents (Computer software) $3 567546
650 0 $a Artificial intelligence. $3 516317
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Computing Methodologies. $3 830243
650 2 4 $a Big Data. $3 3134868
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3432-7
950 $a Professional and Applied Computing (Springer-12059)