Price: $119.99 – $80.81
(as of Dec 17,2024 21:57:59 UTC – Details)
Publisher : Springer; 2023rd edition (July 1, 2023)
Language : English
Hardcover : 75 pages
ISBN-10 : 3031387465
ISBN-13 : 978-3031387463
Item Weight : 3.6 pounds
Dimensions : 7.17 x 1.65 x 10.08 inches
Are you interested in diving into the world of statistical learning and its applications in Python? Look no further than the comprehensive guide “An Introduction to Statistical Learning: with Applications in Python” from the renowned Springer Texts in Statistics series.
This book serves as a perfect introduction for those looking to understand the fundamentals of statistical learning and how to apply them using Python, a popular and powerful programming language. From basic concepts to more advanced techniques, this book covers a wide range of topics including regression, classification, resampling methods, model selection, and much more.
Whether you are a student, researcher, data scientist, or anyone looking to enhance their statistical learning skills, this book provides a clear and accessible guide to help you grasp the essential concepts and techniques. With practical examples and exercises throughout, you will be able to put your newfound knowledge into practice and deepen your understanding of statistical learning.
Don’t miss out on this invaluable resource for learning statistical learning with applications in Python. Pick up your copy of “An Introduction to Statistical Learning” today and start your journey towards mastering this exciting and powerful field.
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