Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making

This new and updated edition takes you through the details of machine learning to give you an understanding of cognitive computing, IoT, big data, AI, quantum computing, and more. The book explains how machine learning techniques are used to solve fundamental and complex societal and industry problems.

This second edition builds upon the foundation of the first book, revises all of the chapters, and updates the research, case studies, and practical examples to bring the book up to date with changes that have occurred in machine learning. A new chapter on quantum computers and machine learning is included to prepare you for future challenges. Insights for decision makers will help you understand machine learning and associated technologies and make efficient, reliable, smart, and efficient business decisions. All aspects of machine learning are covered, ranging from algorithms to industry applications. Wherever possible, required practical guidelines and best practices related to machine learning and associated technologies are discussed. Also covered in this edition are hot-button topics such as ChatGPT, superposition, quantum machine learning, and reinforcement learning from human feedback (RLHF) technology.
Upon completing this book, you will understand machine learning, IoT, and cognitive computing and be prepared to cope with future challenges related to machine learning.

What You Will Learn

• Master the essentials of machine learning, AI, cloud, and the cognitive computing technology stack
• Understand business and enterprise decision-making using machine learning
• Become familiar with machine learning best practices
• Gain knowledge of quantum computing and quantum machine learning

Who This Book Is For
Managers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them

這本新的更新版將帶領您深入了解機器學習的細節，讓您了解認知運算、物聯網、大數據、人工智慧、量子運算等等。本書解釋了機器學習技術如何應用於解決基本和複雜的社會和行業問題。

這第二版在第一版的基礎上進一步發展，修訂了所有章節，並更新了研究、案例研究和實際示例，以使本書與機器學習領域的變化保持同步。新增了一章關於量子計算機和機器學習的內容，以便為未來的挑戰做好準備。決策者的洞察力將幫助您了解機器學習及相關技術，並做出高效、可靠、智能和高效的商業決策。本書涵蓋了機器學習的各個方面，從算法到行業應用。在可能的情況下，我們討論了與機器學習及相關技術相關的實踐指南和最佳實踐。本版還涵蓋了一些熱門話題，如ChatGPT、超級位置、量子機器學習和從人類反饋中進行強化學習（RLHF）技術。

閱讀完本書後，您將了解機器學習、物聯網和認知運算，並準備應對與機器學習相關的未來挑戰。

您將學到什麼
- 掌握機器學習、人工智慧、雲端和認知運算技術堆疊的基礎知識
- 了解如何利用機器學習進行商業和企業決策
- 熟悉機器學習的最佳實踐
- 獲得量子計算和量子機器學習的知識

適合閱讀對象
- 負責做出重要決策的管理人員，希望了解機器學習及相關技術如何幫助他們

Patanjali Kashyap PhD works as a technology manager at a leading American bank. He deals with high-impact, mission-critical financial and innovative new generation technology projects on a day-to-day basis. Dr Kashyap has worked with technology giants such as Infosys and Cognizant Technology Solutions. He is an expert in the Agile process, machine learning, big data, and cloud computing. He understands Microsoft Azure and cognitive computing platforms such as Watson and Microsoft Cognitive Services. Dr Kashyap introduces .NET technologies as his first love to his friends and colleagues. He has worked on a spectrum of .NET and associated technologies such as SQL Server and component-based architecture from their inception. He also loves to work on SharePoint (content management, in general), knowledge management, positive technology, psychological computing, and UNIX. Dr Kashyap is experienced in software development methodologies, application support, and maintenance. He has published several research and white papers on multiple topics. He is involved in organizational initiatives such as building world class teams and dynamic cultures across enterprises. And he is a go-to person for incorporating "positivity and enthusiasm" in enterprises.

Patanjali Kashyap博士在一家領先的美國銀行擔任技術經理。他每天處理高影響力、使命關鍵的金融和創新的新一代技術項目。Kashyap博士曾與Infosys和Cognizant Technology Solutions等科技巨頭合作。他是敏捷流程、機器學習、大數據和雲計算方面的專家。他熟悉Microsoft Azure和Watson、Microsoft Cognitive Services等認知計算平台。Kashyap博士向朋友和同事介紹.NET技術作為他的初戀。他從.NET和相關技術的起源開始，就一直在這個領域工作，包括SQL Server和基於組件的架構。他還喜歡在SharePoint（一般的內容管理）、知識管理、積極技術、心理計算和UNIX上工作。Kashyap博士在軟件開發方法論、應用支持和維護方面有豐富經驗。他發表了多篇關於多個主題的研究和白皮書。他參與組織倡議，如在企業中建立世界一流的團隊和充滿活力的文化。他是企業中實現“積極和熱情”的首選人選。