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Artículo: AMZ-B0FCNHLL5B

Mathematics Behind Artificial Intelligence and Machine Learning

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0.36 kg

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Artificial Intelligence & Machine Learning are rapidly transforming how the world works - from healthcare & finance to retail, education & government. But beneath every intelligent system lies a rigorous foundation of mathematics. This book is a comprehensive & accessible guide to the principles that power today’s most impactful AI & ML applications. Written for undergraduate & postgraduate students, job seekers, working professionals & AI enthusiasts, this book bridges the gap between abstract mathematical concepts & real-world AI problems. It helps readers understand the "why" behind AI algorithms, not just the "how-to" of coding them, making it an ideal companion for self-learners, students & professionals. What You’ll Learn: The mathematical underpinnings of ML, including linear algebra, calculus, probability & statisticsCore concepts in supervised, unsupervised & semi-supervised learningNeural networks & deep learning, including cost functions, optimization & backpropagationBreakthrough models like Convolutional Neural Networks & Natural Language Processing,Key developments including transformers & GPT architectures.Who This Book Is For: Students (UG/PG) seeking a solid foundation in AI & ML without being overwhelmed by jargonJob seekers & career switchers looking to understand the core mathematical skills needed in today’s AI-driven job marketIndustry professionals & engineers wanting to deepen their understanding of the theory behind the toolsEducators designing AI/ML introductory courses or looking for supplemental resourcesSelf-learners & enthusiasts with a high school math background & a passion for AI.This book is structured to support both introductory & intermediate courses including AI/ML fundamentals & advanced topics, making it a go-to resource for both academic curricula & independent study. Features: Clear, non-jargon language with step-by-step derivations & illustrationsDesigned for accessibility: No advanced math background needed - just high school mathReal-world context: Case studies from finance, healthcare, telecom & governmentDual-level structure: Supports both foundational learning & advanced topicsFocus on understanding, not memorization.About the Authors: This book is authored by a team of leading academics & industry experts from institutions like Meta, Adobe, Indian Statistical Institute, IIT Kanpur, IIM Ahmedabad, Purdue University & Shivaji University.Dr. Sayaji Hande: Ph.D. from Purdue University & expert in clinical trials, hedge fund analytics & AI algorithms. He has led national risk initiatives for the Indian Government & held roles at IBM Research, Adobe & GE Capital.Dr. D.T. Shirke: Vice Chancellor of Shivaji University with 30+ years experience, 75+ research papers & extensive consulting in data mining & statistics.Vineet Gupta: Former Senior Product Leader at Meta, where he led AI product innovation. An alumnus of IIT Kanpur, IIM Ahmedabad & HEC Paris, he holds 8 US patents & has published widely in AI. Currently Chief Product & Technology Officer at GIST Impact.Dr. Somanath Pawar: Experienced educator in AI & ML with a decade of academic research & hands-on student project supervision across image classification, NLP & predictive modeling. Why This Book Matters: Unlike books that focus solely on programming, this one emphasizes mathematical clarity & conceptual understanding. In a world increasingly driven by AI, those who understand the math behind the magic will shape the future. Whether you're aiming for your first AI job, transitioning into data science or building a career around AI, this book gives you the foundation to succeed.

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$38,84

31% OFF

$26,79

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