This book builds a single, coherent pathway from linear algebra to probability and statistical learning—the twin pillars behind modern Data Science, AI, and ML. With equal emphasis on geometry (matrices, spectra, projections) and uncertainty (randomness, estimation, generalization), it equips readers to derive algorithms from first principles and implement them robustly at scale. Throughout, geometric pictures (projections, angles, spectra) and probabilist...

The Asset Play is not a manual for speculation. It is a disciplined way of thinking about assets.Drawing from lived experience across ships, property, and complex transactions, this book explores how value is created through structure, patience, and timing, long before markets recognize it.Written for entrepreneurs and investors, The Asset Play also serves a deeper purpose: to help seafarers and professionals at sea understand the financial realities behind the assets they ...

This book offers a rigorous yet approachable pathway to applying Python for mathematical problem-solving, spanning foundational concepts to advanced theoretical frameworks. It bridges the gap between abstract mathematics and computational execution, guiding readers through a logically structured, step-by-step journey. Emphasizing mathematical reasoning, symbolic computation, and real-world problem modeling, it equips readers to analyze, simulate, and visualize complex structures with clari...

Underutilized Tuber Crops of the Himalayan Region: Nutraceutical Potential, Processing, and Applications explores significant, yet underutilized, edible tubers known for their bioactive and pharmacological properties, as well as their preservation potential. The book presents detailed information on historical uses, phytochemistry, pharmacology, distribution, processing, toxicity, conservation, and future prospects of these tubers, along with their market relevance. It also covers various ...

Practical Digital Forensics: A Guide for Windows and Linux Users is a comprehensive resource for novice and experienced digital forensics investigators. This guide offers detailed step-by-step instructions, case studies, and real-world examples to help readers conduct investigations on both Windows and Linux operating systems. It covers essential topics such as configuring a forensic lab, live system analysis, file system and registry analysis, network forensics, and anti-forensic techniqu...

Biomedical engineering is undergoing a transformation because of AI, which is allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. Artificial Intelligence and Cloud Computing Applications in Biomedical Engineeringexamines the salient characteristics of AI in biomedical engineering, highlighting its practical applications and new directions. Highlights of the book include:Genome sequence and visualization

This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and metaheuristic approaches for placement techniques. Taking into consideration the challenges of energy-efficient resource management in cloud data centers, it emphasizes upon computing resources being suitably utilised to serve application workloads in order to reduce energy utilisation, while maintaining apt perfor...

Practical Digital Forensics: A Guide for Windows and Linux Users is a comprehensive resource for novice and experienced digital forensics investigators. This guide offers detailed step-by-step instructions, case studies, and real-world examples to help readers conduct investigations on both Windows and Linux operating systems. It covers essential topics such as configuring a forensic lab, live system analysis, file system and registry analysis, network forensics, and anti-forensic techniqu...

FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNINGThe book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications.Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development. Also, in recent research studies, they are...

In the rapidly evolving field of artificial intelligence, this book serves as a crucial resource for understanding the mathematical foundations of AI. It explores the intricate world of tensors, the fundamental elements powering today's advanced deep learning models. Combining theoretical depth with practical insights, the text navigates the complex landscape of tensor calculus, guiding readers to master the principles and applications of tensors in AI. From the basics of tensor algebra an...

This book offers an in-depth exploration of the mathematical foundations underlying transformer networks, the cornerstone of modern AI across various domains. Unlike existing literature that focuses primarily on implementation, this work delves into the elegant geometry, symmetry, and mathematical structures that drive the success of transformers. Through rigorous analysis and theoretical insights, the book unravels the complex relationships and dependencies that these models capture, prov...

Sal forests symbolize the strength and permanence of the virtues of the Dehra Dun Valley. They form the dramatic backdrop of the seven stories in this anthology. Be led through this fabled landscape and come face to face with people through their struggles and triumphs, during which nature opposes and also rescues them at every step. In these pages, you meet incorrigible ramblers of the forests; a party of farm hands launching a desperate night search; a daunting wilderness that does nothi...