{"product_id":"hands-on-machine-learning-with-pytorch-tensorflow-and-scikit-learn-step-by-step-projects-for-beginners-and-beyond-9798268323191","title":"Hands-On Machine Learning with PyTorch, TensorFlow, and Scikit-Learn: Step-by-Step Projects for Beginners and Beyond","description":"\u003cp\u003e • Author(s): Adrian Devlin\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Machine Theory\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDoes machine learning feel out of reach-something only experts or PhDs can understand?\u003c\/b\u003e\u003cbr\u003eIf you've ever felt intimidated by complex jargon or worried you don't \"belong\" in tech, this book is here to change that. \u003ci\u003eHands-On Machine Learning with PyTorch, TensorFlow, and Scikit-Learn: Step-by-Step Projects for Beginners and Beyond\u003c\/i\u003e is your friendly, confidence-building guide to learning AI and machine learning-no prior coding or math experience required.\u003c\/p\u003e\u003cp\u003eInside, you'll discover a warm, supportive approach that makes technical concepts simple, practical, and even enjoyable. Instead of overwhelming theory, you'll gain real skills by building actual projects using today's most popular frameworks: \u003cb\u003ePyTorch, TensorFlow, and Scikit-Learn\u003c\/b\u003e. Each chapter walks you through every step at a beginner's pace, with clear explanations and hands-on coding exercises you can follow along with at home.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat you'll learn inside this book: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eHow to set up your Python environment and start coding with ease.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBeginner-friendly introductions to classification, regression, clustering, and deep learning.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003ePractical projects with real-world datasets-such as image recognition and text classification-using PyTorch, TensorFlow, and Scikit-Learn side by side.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eConfidence-building strategies that normalize mistakes, encourage curiosity, and celebrate small wins.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow to improve, evaluate, and even deploy your models using modern tools.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eA gentle introduction to responsible AI, bias, and the future of machine learning.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eUnlike dense textbooks or one-size-fits-all tutorials, this book was designed with complete beginners in mind. You'll always know \u003ci\u003ewhy\u003c\/i\u003e you're doing something, not just what to type. Each chapter feels like having a patient mentor at your side-someone who explains complex ideas in plain English, helps you troubleshoot when things go wrong, and cheers you on as you grow.\u003c\/p\u003e\u003cp\u003eBy the time you finish, you won't just understand machine learning-you'll have built real projects, gained practical skills, and discovered that AI is not only approachable but also exciting and rewarding.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIf you've ever dreamed of learning AI but didn't know where to start, this is your step-by-step guide.\u003c\/b\u003e\u003cbr\u003eTake the leap today, and let this book be your supportive companion on a journey that turns curiosity into confidence and beginners into creators.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779152330903,"sku":"9798268323191","price":2712.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798268323191.webp?v=1778033816","url":"https:\/\/atlanticbooks.com\/products\/hands-on-machine-learning-with-pytorch-tensorflow-and-scikit-learn-step-by-step-projects-for-beginners-and-beyond-9798268323191","provider":"Atlantic Books","version":"1.0","type":"link"}