Patanjali Kashyap

Machine Learning for Decision Makers (eBook, PDF)

Cognitive Computing Fundamentals for Better Decision Making

• Format: PDF

Produktbeschreibung

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Produktdetails

• Verlag: Apress
• Seitenzahl: 661
• Erscheinungstermin: 22. Dezember 2023
• Englisch
• ISBN-13: 9781484298015
• Artikelnr.: 69699390

Autorenporträt

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. Hehas 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.

Inhaltsangabe

Chapter 1: Let's Integrate with Machine Learning.
Chapter 2: The Practical Concepts of Machine Learning.
Chapter 3: Machine Learning Algorithms and Their Relationship with Modern Technologies.
Chapter 4: Technology Stack for Machine Learning and Associated Technologies.
Chapter 5: Industrial Applications of Machine Learning.
Chapter 6: I Am the Future: Machine Learning in Action.
Chapter 7: Innovation, KPIs, Best Practices, and More for Machine Learning.
Chapter 8: Do Not Forget Me: The Human Side of Machine Learning.
Chapter 9: Quantum Computers and Machine Learning.
Chapter 10: Let's Wrap Up: The Final Destination.