{"product_id":"9783031302756","title":"Statistics and Computing: With Data Examples and Python Code","description":"\u003ch1\u003eStatistics and Computing: With Data Examples and Python Code\u003c\/h1\u003e \u003ch2\u003eLederer, Johannes\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from beginning to end for a profound yet practical introduction to statistical learning.\u003c\/p\u003e\n\n\u003cp\u003eThe book consists of three parts: The first one presents data in the framework of probability theory, exploratory data analysis, and unsupervised learning. The second part on inferential data analysis covers linear and logistic regression and regularization. The last part studies machine learning with a focus on support-vector machines and deep learning. Each chapter is based on a dataset, which can be downloaded from the book's homepage.\u003c\/p\u003e\n\n\u003cp\u003eIn addition, the book has the following features:\u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli\u003eA careful selection of topics ensures rapid progress.\u003c\/li\u003e\n\t\u003cli\u003eAn opening question at the beginning of each chapter leads the reader through the topic.\u003c\/li\u003e\n\t\u003cli\u003eExpositions are rigorous yet based on elementary mathematics.\u003c\/li\u003e\n\t\u003cli\u003eMore than two hundred exercises help digest the material.\u003c\/li\u003e\n\t\u003cli\u003eA crisp discussion section at the end of each chapter summarizes the key concepts and highlights practical implications.\u003c\/li\u003e\n\t\u003cli\u003eNumerous suggestions for further reading guide the reader in finding additional information.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThis book is for everyone who wants to understand and apply concepts and methods of statistical learning. Typical readers are graduate and advanced undergraduate students in data-intensive fields such as computer science, biology, psychology, business, and engineering, and graduates preparing for their job interviews.\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2025-02-26\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031302756\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-30276-3\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 282\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":45659035173004,"sku":"9783031302756","price":89.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031302756.jpg?v=1772823822","url":"https:\/\/lateknightbooks.com\/products\/9783031302756","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}