Description
Machine Learning for Decision Makers (2nd Ed., 2nd ed.)
Cognitive Computing Fundamentals for Better Decision Making
Author: Kashyap Patanjali
Language: EnglishSubject for Machine Learning for Decision Makers:
661 p. · 15.5x23.5 cm · Paperback
Description
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- 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
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.
Covers machine learning algorithms and techniques used to solve problems in the industry
Discusses quantum computing concepts and applications
Covers practical guidelines and best practices for machine learning