An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
genuine image
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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.
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Preces #: 62643

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Preces #: 62643

€ 68

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from ASV

Noliktavā
ASV Importēts no veikala USA
Pasūtiet tūlīt un saņemiet to Piektdiena, Augusts 14
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
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.
U-Care garantija:
Nav
Izvēlieties plānu
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of ASV store (110-120). Recommended power converters Pērc tagad.

What Stands Out

Comprehensive Learning
Offers a thorough understanding of statistical learning concepts, making it accessible for beginners and valuable for advanced learners seeking practical applications.
R Application Focus
Incorporates hands-on examples using R, providing readers with the tools to apply statistical methods in real-world scenarios, enhancing both learning and practical skills.
Clear Explanations
Uses straightforward language and illustrative graphics to simplify complex topics, ensuring readers can easily grasp concepts and effectively apply them in various fields.

Produkta informācija

Explore the world of statistical learning with this comprehensive guide. Learn the applications of statistical learning in R. Shop now at Ubuy Latvia.
  • Accessible overview of statistical learning
  • Covers modeling and prediction techniques
  • Illustrates methods with color graphics and real-world examples
  • Includes tutorials on implementing analyses in R
  • Suitable for statisticians and non-statisticians
  • Assumes only previous linear regression course knowledge
Publisher SPRINGER
Publication date January 1, 2013
Edition 1st
Language English
Print length 426 pages
ISBN-10 1461471370
ISBN-13 978-1461471370
Item Weight 2.31 pounds (1.05 kg)
Dimensions 6.1 x 1 x 9.3 inches (15.5 x 2.5 x 23.6 cm)
Part of series Springer Texts in Statistics

Who Should Buy?

Suitable For
  • Students of Statistics

    Ideal for undergraduate and graduate students seeking foundational knowledge in statistical learning techniques and R applications.

  • Data Analysts

    Beneficial for data analysts looking to enhance their understanding of statistical methods and R for data analysis.

  • Researchers in R

    Useful for researchers who need to apply statistical learning methods in R for their data-driven research projects.

Not Suitable For
  • Beginners in Statistics

    Not suitable for complete beginners, as it assumes a basic understanding of statistics and familiarity with R.

PRODUKTA APRAKSTS

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Vai jums ir kādi jautājumi? Terzet ar mums

Klientu jautājumi un atbildes

  • jautājums: What is 'An Introduction to Statistical Learning: with Applications in R' about?

    atbildi: This book serves as a comprehensive introduction to statistical learning, covering essential techniques such as linear regression, classification, and resampling methods. It uses R, a powerful statistical programming language, to demonstrate applications in real-world scenarios. Ideal for beginners and professionals, this text emphasizes practical applications alongside theoretical foundations. Readers will benefit from clear explanations, abundant examples, and hands-on exercises that enhance understanding and proficiency in statistical analysis.
  • jautājums: Who is the target audience for this book?

    atbildi: The book is intended for a diverse audience, including graduate students, researchers, and professionals in fields such as statistics, data science, and machine learning. It serves as an introductory text for those new to statistical learning, as well as a reference for seasoned practitioners seeking to refresh their knowledge. Its practical approach, combined with accessible R applications, makes it suitable for anyone interested in mastering statistical data analysis techniques.
  • jautājums: What programming language does this book focus on for practical applications?

    atbildi: This book utilizes R, a widely-used programming language and environment specifically designed for statistical computing and graphics. R provides an extensive array of tools for data manipulation, statistical modeling, and visualization, making it ideal for implementing the statistical learning techniques discussed. Readers will find numerous code examples and practical exercises that help cement their understanding of statistical concepts while applying them in R.
  • jautājums: Does the book include real-world applications of statistical methods?

    atbildi: Yes, the book features numerous real-world applications that illustrate how statistical methods can be employed in various fields such as finance, healthcare, and social sciences. By integrating practical case studies alongside theoretical teachings, the authors ensure that readers can see the relevance of statistical learning in everyday life. This hands-on approach helps learners connect abstract concepts to tangible outcomes, thereby enhancing their analytical skills.
  • jautājums: What types of statistical methods are covered in this book?

    atbildi: The book covers a broad spectrum of statistical methods, including linear regression, classification techniques, clustering, and more advanced topics like tree-based methods and support vector machines. Each method is explained in terms of its theoretical underpinnings and practical implementation in R. This comprehensive coverage makes the book a valuable resource for anyone looking to deepen their understanding of statistical learning methodologies.
  • jautājums: Are there exercises included for practice?

    atbildi: Absolutely! Each chapter includes exercises designed to reinforce the concepts presented and to encourage hands-on practice with R. These exercises provide opportunities to apply the statistical techniques learned, helping to solidify the reader's understanding. Furthermore, solving these practical problems equips readers with the skills necessary to tackle real-world data analysis challenges.
  • jautājums: Can beginners without a strong statistical background benefit from this book?

    atbildi: Yes, beginners will find this book approachable, as it starts with fundamental concepts and gradually builds up to more complex topics. The authors take a pedagogical approach, using clear language and illustrative examples to make complicated ideas accessible. Moreover, the emphasis on practical applications using R offers beginners a straightforward pathway to understanding and applying statistical learning techniques.
  • jautājums: Is 'An Introduction to Statistical Learning' suitable for self-study?

    atbildi: Yes, the book is well-suited for self-study, as it is structured in a way that allows readers to progressively work through the material at their own pace. Each chapter introduces key concepts, followed by practical R applications and exercises, making it an effective resource for independent learners. Those who prefer self-learning will benefit from the engaging examples and clear explanations that facilitate understanding of the content.
  • jautājums: What is the significance of using R in statistical learning?

    atbildi: Using R enhances the learning experience by allowing readers to implement statistical techniques directly, enabling hands-on engagement with the material. R offers a rich ecosystem of packages and tools specifically designed for data analysis, making it easier to explore, visualize, and model data. This practical approach equips readers with the skills to analyze datasets, derive insights, and apply statistical methods in their respective fields effectively.
  • jautājums: Where can I buy 'An Introduction to Statistical Learning: with Applications in R' in Latvia?

    atbildi: You can purchase 'An Introduction to Statistical Learning: with Applications in R' from Ubuy. Ubuy is an established e-commerce platform that offers a vast range of products, including academic texts. Shopping with Ubuy ensures you have access to reliable service and a straightforward purchasing process for your educational needs.

Probability & Statistics Editorial Review

This book has received mixed reviews from customers. One reviewer praises it for its ability to provide a basic understanding of statistical methods and how they can be applied using R. Another reviewer found it useful for school work. However, negative reviews criticize the poor binding quality of the rental book and its difficulty level. One reviewer believes it is too advanced, confusing and not suitable for beginners, while the other praises it as a masterpiece that explains core ideas of machine learning techniques well. Therefore, it appears that this book is not universally suitable for everyone but can be useful to those who have familiarity with statistical concepts and would like to learn R.

Customer Reviews & Ratings

4.0
1 klientu vērtējumi
  • 5 zvaigzne
    0%
  • 4 zvaigzne
    100%
  • 3 zvaigzne
    0%
  • 2 zvaigzne
    0%
  • 1 zvaigzne
    0%

Pārskatiet šo produktu

Dalieties savās domās ar citiem klientiem

Pros

  • Explains core ideas behind machine learning techniques
  • Provides basic understanding of statistical methods and their applications using R
  • Useful for school work

Mīnusi

  • Poor binding quality of rental book

Platform Trust & Buyer Confidence

trustpilot logo
4.3/5 9200 + reviews
Read reviews
MA
Mohammad
Verified buyer

“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
CK
Chitra
Verified buyer

“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”

22-Jul-26 · via Trustpilot
K
kund
Verified buyer

“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”

23-Jul-26 · via Trustpilot
OO
Onesi
Verified buyer

“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”

22 July 2026 · via Trustpilot
SJ
SAO JOHN
Verified buyer

“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”

23 July 2026 · via Trustpilot
Droša izrakstīšanās Global Delivery Easy Returns Genuine Products

Product Price History

Svarīga informācija

  • Ierobežojumi: attiecībā uz produktiem, kas tiek nosūtīti starptautiski, lūdzu, ņemiet vērā, ka jebkura ražotāja garantija var nebūt derīga; ražotāja servisa iespējas var nebūt pieejamas; produktu rokasgrāmatas, instrukcijas un drošības brīdinājumi var nebūt galamērķa valsts valodās; produkti (un pavadošie materiāli) var nebūt izstrādāti saskaņā ar galamērķa valsts standartiem, specifikācijām un marķēšanas prasībām; un produkti var neatbilst galamērķa valsts spriegumam un citiem elektriskajiem standartiem (ja nepieciešams, nepieciešams adapteris vai pārveidotājs). Par to, lai produktu varētu likumīgi ievest galamērķa valstī, ir atbildīgs saņēmējs. Pasūtot no Ubuy vai tā saistītajiem uzņēmumiem, saņēmējs ir ierakstu importētājs, un viņam jāievēro visi galamērķa valsts tiesību akti un noteikumi.
  • Ne visi Ubuy uzskaitītie produkti ir pārdošanā, jo Ubuy ir globāla meklētājprogramma. Uz produktiem attiecas eksporta/tirdzniecības noteikumi.

€ 68

Pasūtiet tūlīt un saņemiet to Piektdiena, Augusts 14

QTY:

Secured transactionsecured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

Funkcijas un priekšrocības

  • Accessible overview of statistical learning.
  • Important modeling and prediction techniques are presented.
  • Real-world examples are used to illustrate the methods.
  • Each chapter contains a tutorial on implementing the analyses and methods presented in R.
  • Targeted to statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data.
  • Assumes only a previous course in linear regression and no knowledge of matrix algebra.

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.