{"product_id":"ml-for-beginners-simplifying-complex-algorithms-a-beginners-guide-to-understanding-and-applying-ml-concepts-9798264521416","title":"ML for Beginners Simplifying Complex Algorithms: A beginner's guide to understanding and applying ML concepts","description":"\u003cp\u003e • Author(s): Isandro Myles\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Programming - Algorithms\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStart your machine learning journey with confidence.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eIn \u003cb\u003eML for Beginners\u003c\/b\u003e, you'll learn how to break down complex machine learning (ML) algorithms into simple, easy-to-understand concepts. This beginner-friendly guide is designed for anyone looking to get started with machine learning, even if you have no technical background. Through clear explanations and hands-on examples, you'll master the fundamentals of ML and apply them to real-world problems.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eInside, you'll discover how to: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eUnderstand key ML concepts\u003c\/b\u003e: from supervised vs. unsupervised learning to classification, regression, and clustering.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eExplore popular algorithms\u003c\/b\u003e: get a grasp of decision trees, k-nearest neighbors (KNN), linear regression, and support vector machines (SVM).\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eImplement your first ML models\u003c\/b\u003e using \u003cb\u003ePython\u003c\/b\u003e and popular libraries like \u003cb\u003escikit-learn\u003c\/b\u003e and \u003cb\u003epandas\u003c\/b\u003e.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003ePreprocess data\u003c\/b\u003e: handle missing values, normalize data, and encode categorical variables for model readiness.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuild and evaluate models: measure accuracy, precision, recall, F1 score, and confusion matrices.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eUnderstand overfitting vs. underfitting\u003c\/b\u003e and use techniques like cross-validation to improve model performance.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDive into \u003cb\u003eunsupervised learning\u003c\/b\u003e and \u003cb\u003eclustering\u003c\/b\u003e with algorithms like k-means and hierarchical clustering.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eApply \u003cb\u003eregression techniques\u003c\/b\u003e to predict continuous values, such as stock prices or housing costs.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eImplement \u003cb\u003ereal-world projects\u003c\/b\u003e for practical ML applications in customer segmentation, recommendation systems, and predictive analytics.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eUse model selection\u003c\/b\u003e and \u003cb\u003ehyperparameter tuning\u003c\/b\u003e to improve performance and make your models more accurate.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eGain insights into the \u003cb\u003efuture of machine learning\u003c\/b\u003e with an introduction to deep learning and neural networks.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePacked with \u003cb\u003estep-by-step examples\u003c\/b\u003e, \u003cb\u003eeasy-to-follow tutorials\u003c\/b\u003e, and \u003cb\u003ereal-world datasets\u003c\/b\u003e, this book helps you take the first step toward becoming a confident ML practitioner.\u003c\/p\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eBeginners\u003c\/b\u003e with no prior programming or data science experience\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eAspiring data scientists\u003c\/b\u003e and \u003cb\u003eML enthusiasts\u003c\/b\u003e eager to understand machine learning concepts\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eStudents\u003c\/b\u003e looking for an approachable introduction to ML algorithms\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eDevelopers\u003c\/b\u003e wanting to learn how to implement machine learning into real-world applications\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eNon-technical readers\u003c\/b\u003e who want to gain a solid understanding of ML without the jargon\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eUnderstand and apply machine learning concepts with clarity, and start building your own intelligent systems today.\u003c\/b\u003e\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46332951920791,"sku":"9798264521416","price":1654.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798264521416.webp?v=1767715539","url":"https:\/\/atlanticbooks.com\/products\/ml-for-beginners-simplifying-complex-algorithms-a-beginners-guide-to-understanding-and-applying-ml-concepts-9798264521416","provider":"Atlantic Books","version":"1.0","type":"link"}