Mukul gupta (22 Ergebnisse)

Zustand: New. pp. 224.

Zustand: New. In English.

Zustand: New. pp. 518.

Zustand: New. pp. 560.

Paperback. Zustand: Good. A Journal for Black and Third World Liberation. ISSN: 0306 3968. 110 pages.

Taschenbuch. Zustand: Neu. Neuware.

Paperback. Zustand: Brand New. 428 pages. 9.25x0.79x7.01 inches. In Stock.

Zustand: New.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware - In an era where data drives decisions, the ability to decode insights from social media and web interactions has become a game-changer. 'Social Media and Web Analytics' is your essential guide to mastering the art and science of analytics in the digital age. This all-encompassing textbook fills the gap by moving between theory and practice in understanding the importance of analytics and how they have evolved over time. Structured from foundational concepts to advanced methodologies like predictive modelling, machine learning, and network analysis, the readers will get actionable knowledge on every chapter. This textbook illuminates the strategies behind success and what is learned from failure, through real-life examples, step-by-step explanation, and case studies. The book is beneficial to the students of business management, data analysts, marketers, and business managers alike as a source of value and practical application in enhancing strategic decisions, improving customer experience and maximizing organization''s digital presence.…

Zustand: New. pp. 800.

Zustand: New. In English.

Zustand: New.

Paperback. Zustand: Brand New. 1st edition. 360 pages. 9.75x6.50x1.00 inches. In Stock.

Hardcover. Zustand: Brand New. 248 pages. 9.18x6.12x9.45 inches. In Stock.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 256 pages. 9.18x6.12x9.45 inches. In Stock.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 1st edition. 251 pages. 8.60x5.50x0.90 inches. In Stock.

Zustand: New.

Buch. Zustand: Neu. Neuware - The book serves as an essential guide and a deep dive into the intersection of AI and finance, providing readers with a thorough understanding of the current state, challenges, and future possibilities of autonomous financial systems. In the rapidly evolving domain of autonomous finance, the convergence of computational intelligence techniques and financial technologies has paved the way for a new era of financial services. This transformation is driven by the integration of artificial intelligence (AI), machine learning (ML), blockchain, and big data analytics into financial systems, leading to the development of more responsive, efficient, and personalized financial products and services. Computational Intelligence for Autonomous Finance delves into the heart of this technological revolution, offering a comprehensive exploration of the theoretical foundations, practical applications, and future prospects of computational intelligence in the financial sector. The backbone of autonomous finance is a complex, interconnected ecosystem that leverages computational intelligence to automate decision-making processes, optimize financial operations, and enhance customer experiences. The book introduces the concept of an Intelligent Autonomous Financial Network (IAFN), which integrates various computational intelligence techniques with cutting-edge financial technologies to create a self-organizing, adaptive, and scalable financial system. The IAFN framework facilitates seamless interactions between diverse financial entities, enabling the provision of innovative financial services such as automated trading, real-time risk management, personalized financial planning, and fraud detection. The book meticulously analyzes the key challenges including data security and privacy concerns, algorithmic biases, regulatory compliance, and the need for interoperable standards. It also presents state-of-the-art solutions and best practices for overcoming these challenges, emphasizing the importance of ethical AI, robust data protection mechanisms, transparent algorithms, and collaborative regulatory frameworks. It discusses emerging trends such as quantum computing, edge computing, and decentralized finance (DeFi), highlighting their potential to further transform the financial landscape. The book also addresses the societal implications of autonomous finance, including its impact on employment, wealth distribution, and financial inclusion, advocating for a balanced approach that maximizes benefits while minimizing negative outcomes. Audience This book is aimed at researchers, industry professionals, policymakers, and graduate students in finance, computational intelligence, and related fields.…