Vikash Yadav – författare

A modern reframing of Friedrich Hayek’s most famous work for the 21st century.

Friedrich Hayek’s The Road to Serfdom was both an intellectual milestone and a source of political division, spurring fiery debates around capitalism and its discontents. In the ensuing discord, Hayek’s true message was lost: liberalism is a thing to be protected above all else, and its alternatives are perilous.

In Liberalism’s Last Man, Vikash Yadav revives the core of Hayek’s famed work to map today’s primary political anxiety: the tenuous state of liberal meritocratic capitalism—particularly in North America, Europe, and Asia—in the face of strengthening political-capitalist powers like China, Vietnam, and Singapore. As open societies struggle to match the economic productivity of authoritarian-capitalist economies, the promises of a meritocracy fade; Yadav channels Hayek to articulate how liberalism’s moral backbone is its greatest defense against repressive social structures.

This book focuses on the theory, practice, and concepts of process mining techniques in detail, especially pattern recognition in diverse society, science, medicine, engineering, and business. The book deliberates several perspectives on process mining techniques in the broader context of data science and big data approaches.

Process Mining Techniques for Pattern Recognition: Concepts, Theory, and Practice provides an introduction to process mining techniques and pattern recognition. After that, it delivers the fundamentals of process modelling and mining essential to comprehend the book. The text emphasizes discovery as an important process mining task and includes case studies as well as real-life examples to guide users in successfully applying process mining techniques for pattern recognition in practice.

Intended to be an introduction to process mining and pattern recognition for students, academics, and practitioners, this book is perfect for those who want to learn the basics, and also gain an understanding of the concepts on a deeper level.

This book focuses on the theory, practice, and concepts of process mining techniques in detail, especially pattern recognition in diverse society, science, medicine, engineering, and business. The book deliberates several perspectives on process mining techniques in the broader context of data science and big data approaches.

Process Mining Techniques for Pattern Recognition: Concepts, Theory, and Practice provides an introduction to process mining techniques and pattern recognition. After that, it delivers the fundamentals of process modelling and mining essential to comprehend the book. The text emphasizes discovery as an important process mining task and includes case studies as well as real-life examples to guide users in successfully applying process mining techniques for pattern recognition in practice.

Intended to be an introduction to process mining and pattern recognition for students, academics, and practitioners, this book is perfect for those who want to learn the basics, and also gain an understanding of the concepts on a deeper level.

This book discusses the importance of using industrial intelligence in collaboration with computational intelligence in forming a smart system for diverse applications. It further illustrates the challenges and deployment issues in industrial resolution. The text highlights innovation and applications of computational agents and the industrial intelligence era to automate the requirements as per Industry 4.0.

This book:

The text is primarily written for senior undergraduate and graduate students, and academic researchers in diverse fields including electrical engineering, electronics, and communication engineering, industrial engineering, manufacturing engineering and computer science, and engineering.

This book discusses the importance of using industrial intelligence in collaboration with computational intelligence in forming a smart system for diverse applications. It further illustrates the challenges and deployment issues in industrial resolution. The text highlights innovation and applications of computational agents and the industrial intelligence era to automate the requirements as per Industry 4.0.

This book:

The text is primarily written for senior undergraduate and graduate students, and academic researchers in diverse fields including electrical engineering, electronics, and communication engineering, industrial engineering, manufacturing engineering and computer science, and engineering.