{"product_id":"an-introduction-to-statistical-learning-with-applications-in-python-springer-texts-in-statistics","title":"An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)","description":"An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data.\n\nFour of the authors co-wrote An Introduction to Statistical Learning, With Applications in R(ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.\u003cbr\u003eASIN: 3031387465\u003cbr\u003eVSKU: GBV.3031387465.A\u003cbr\u003eCondition: Acceptable\u003cbr\u003eAuthor\/Artist:James, Gareth|Hastie, Trevor|Tibshirani, Robert|Witten, Daniela|Taylor, Jonathan\u003cbr\u003eBinding: Hardcover\u003cbr\u003e\u003cb\u003eNote:\u003c\/b\u003e Any images shown are stock photographs and product may differ from what is shown.  \u003cbr\u003e\u003cb\u003eCondition Notes\u003c\/b\u003e: This book is in acceptable condition and may have highlighting and or writing throughout. The actual cover image may not match the stock photo, dust jacket may be damaged or missing. Book may show internal and or external wear on spine or cover and may be slightly skewed or have creased pages. This is a used book so codes may be invalid or accompanying media may be missing. May be an Ex library book with stickers and stamps.  \u003cbr\u003e","brand":"Good Books Company","offers":[{"title":"Default Title","offer_id":55340075385137,"sku":"GBV.3031387465.A","price":54.3,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0914\/3730\/2065\/files\/3031387465-0.jpg?v=1784409960","url":"https:\/\/goodbookscompany.org\/products\/an-introduction-to-statistical-learning-with-applications-in-python-springer-texts-in-statistics","provider":"Good Books Company","version":"1.0","type":"link"}