Building Intelligent Systems: A Guide to Machine Learning Engineering
暫譯: 構建智能系統：機器學習工程指南
Geoff Hulten
- 出版商: Apress
- 出版日期: 2018-03-07
- 售價: $2,490
- 貴賓價: 9.5 折 $2,366
- 語言: 英文
- 頁數: 368
- 裝訂: Paperback
- ISBN: 1484234316
- ISBN-13: 9781484234310
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success.
What You'll Learn:
This Book Is For:
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: Achieve your objectives and 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
This Book Is For:
Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems.
商品描述(中文翻譯)
製作一個完全運作的智能系統，利用機器學習和用戶互動數據隨著時間的推移不斷改進並取得成功。
本書教你如何從頭到尾構建一個智能系統，並在實踐中利用機器學習。你將了解如何應用你現有的軟體工程、數據科學、機器學習、管理和專案管理技能來產出可運作的系統。
《構建智能系統》基於超過十年的經驗，建立了互聯網規模的智能系統，這些系統在世界上一些最大和最重要的軟體系統中，每天擁有數億次的用戶互動。
你將學到的內容：
- 理解智能系統的概念：它的用途、何時需要以及如何為成功做好準備
- 設計智能用戶體驗：實現你的目標並產生數據以幫助智能系統隨著時間的推移變得更好
- 實施智能系統：在實踐中執行、管理和衡量智能系統
- 創造智能：使用不同的方法，包括機器學習
- 協調智能系統：在其生命週期內將各部分整合在一起，實現你想要的影響
本書適合：
希望構建有效智能系統的軟體工程師、機器學習從業者和技術經理。
