{"product_id":"applied-math-for-data-science-what-you-actually-need-without-the-fluff-the-essential-math-toolkit-for-machine-learning-ai-and-real-world-data-wor-9798196421914","title":"APPLIED MATH FOR DATA SCIENCE What You Actually Need (Without the Fluff): The Essential Math Toolkit for Machine Learning, AI, and Real-World Data Wor","description":"\u003cp\u003e • Author(s): Mir Hossain\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Applied\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eApplied Math for Data Science doesn't teach you everything-it teaches you what actually matters.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eIf you've ever felt overwhelmed by dense math textbooks, endless theory, or courses that never connect to real-world work, this book is your shortcut.\u003c\/p\u003e\u003cp\u003eYou don't need years of abstract mathematics to succeed in data science, machine learning, or AI. What you need is a \u003cb\u003eclear, practical understanding of the core ideas that show up every day on the job\u003c\/b\u003e-and that's exactly what this book delivers.\u003cbr\u003e \u003c\/p\u003e\u003cp\u003eThis book is designed to provide a practical, working understanding of the mathematics used in data science, machine learning, and AI. It focuses on the concepts and techniques most commonly applied in real-world work.\u003c\/p\u003e\u003cp\u003eIt is not intended to be a comprehensive or rigorous treatment of mathematics. Formal proofs, advanced theoretical topics, and exhaustive derivations are intentionally minimized in favor of clarity, intuition, and application.\u003c\/p\u003e\u003cp\u003eReaders seeking a deep, formal study of mathematics may wish to supplement this book with traditional academic texts. The goal here is different: to help you understand, use, and reason about the math that actually matters in practice.\u003c\/p\u003e\u003cbr\u003eWhat You'll Learn\u003cp\u003eInside this book, you'll master the essential math behind modern data work-without getting lost in unnecessary theory: \u003c\/p\u003e\u003cb\u003eLinear Algebra\u003c\/b\u003e - Vectors, matrices, PCA, and SVD explained with real-world intuition\u003cbr\u003e\u003cb\u003eProbability\u003c\/b\u003e - Conditional probability, distributions, and Bayes theorem that actually stick\u003cbr\u003e\u003cb\u003eStatistics\u003c\/b\u003e - Hypothesis testing, confidence intervals, and avoiding common mistakes\u003cbr\u003e\u003cb\u003eCalculus\u003c\/b\u003e - Derivatives and gradients made simple for optimization\u003cbr\u003e\u003cb\u003eOptimization\u003c\/b\u003e - Gradient descent and modern optimizers like Adam and RMSProp\u003cbr\u003e\u003cb\u003eMachine Learning Math\u003c\/b\u003e - Linear regression, logistic regression, neural networks, and attention \u003cp\u003e\u003c\/p\u003eWhy This Book Is Different\u003cp\u003eMost math books are written for mathematicians.\u003cbr\u003eThis one is written for \u003cb\u003epractitioners\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eInstead of long proofs and abstract theory, you get: \u003c\/p\u003eClear, plain-English explanations\u003cbr\u003eStep-by-step worked examples\u003cbr\u003eReal-world scenarios from industry\u003cbr\u003eProblem sets with full solutions\u003cbr\u003eVisual intuition behind every concept\u003cp\u003eYou'll learn \u003cb\u003ewhy the math matters\u003c\/b\u003e, not just how to compute it.\u003c\/p\u003e\u003cbr\u003eWho This Book Is For\u003cbr\u003eAspiring data scientists and ML engineers\u003cbr\u003eStudents who want a practical math foundation\u003cbr\u003eProfessionals switching into AI or analytics\u003cbr\u003eAnyone tired of \"fluffy\" explanations and overcomplicated theory \u003cp\u003e\u003c\/p\u003eWhat You'll Gain\u003cp\u003eBy the end of this book, you will: \u003c\/p\u003eUnderstand the math behind machine learning models\u003cbr\u003eDebug models with confidence\u003cbr\u003eMake better decisions using data\u003cbr\u003eStop feeling intimidated by math \u003cp\u003e\u003c\/p\u003eThe Bottom Line\u003cp\u003eYou don't need to master everything.\u003cbr\u003eYou need to master what matters.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThis book shows you exactly what that is.\u003c\/b\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47892814299287,"sku":"9798196421914","price":2073.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798196421914.webp?v=1781189159","url":"https:\/\/atlanticbooks.com\/products\/applied-math-for-data-science-what-you-actually-need-without-the-fluff-the-essential-math-toolkit-for-machine-learning-ai-and-real-world-data-wor-9798196421914","provider":"Atlantic Books","version":"1.0","type":"link"}