- Pagina principala /
- Cărți /
- Science & Math /
- Mathematics /
- Applied /
- Probability & Statistics /
- An Introduction to Statistical Learning: with...
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) 1st Edition
RON 367
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from SUA
QTY:
Ubuy depune eforturi pentru a vă proteja securitatea și confidențialitatea. Sistemul nostru avansat de securitate a plăților asigură confidențialitatea prin criptarea informațiilor dvs. în timpul transmisiei folosind protocoalele AES (Advanced Encryption Standards) și SSL (Secure Socket Layer). Detaliile dvs. de plată sunt 100% sigure, deoarece nu partajăm datele dvs. de plată cu vânzători terți.
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.
Fast
Shipping
Retur
gratuit*
Ambalaj sigur
Produse originale 100%
PCI DSS Compliance
ISO 27001 Certified
Ce Iese în Evidență
Detalii produs
- 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
| Item Weight | 2.7 lbs (1.22 kg) |
Cine Ar Trebui să Cumpere?
-
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.
-
Beginners in Statistics
Not suitable for complete beginners, as it assumes a basic understanding of statistics and familiarity with R.
DESCRIEREA PRODUSULUI
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) 1st Edition
Întrebări și răspunsuri ale clienților
-
întrebare:
What is 'An Introduction to Statistical Learning: with Applications in R' about?
Răspuns: 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. -
întrebare:
Who is the target audience for this book?
Răspuns: 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. -
întrebare:
What programming language does this book focus on for practical applications?
Răspuns: 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. -
întrebare:
Does the book include real-world applications of statistical methods?
Răspuns: 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. -
întrebare:
What types of statistical methods are covered in this book?
Răspuns: 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. -
întrebare:
Are there exercises included for practice?
Răspuns: 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. -
întrebare:
Can beginners without a strong statistical background benefit from this book?
Răspuns: 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. -
întrebare:
Is 'An Introduction to Statistical Learning' suitable for self-study?
Răspuns: 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. -
întrebare:
What is the significance of using R in statistical learning?
Răspuns: 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. -
întrebare:
Where can I buy 'An Introduction to Statistical Learning: with Applications in R' in Romania?
Răspuns: 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
Recenziile și evaluările clienților
-
5 stele
0%
-
4 stele
100%
-
3 stele
0%
-
2 stele
0%
-
1 stele
0%
Faceți o recenzie pentru acest produs
Spuneți-vă părerile și altor clienți
Platform Trust & Buyer Confidence
“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”
“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”
“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”
“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”
“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.”
Istoric de Preț al Produsului
Important
- Limite: Pentru produsele expediate la nivel internațional, vă rugăm să rețineți că este posibil ca garanția producătorului să nu fie valabilă; este posibil ca opțiunile de service ale producătorului să nu fie disponibile; este posibil ca manualele, instrucțiunile și avertismentele de siguranță ale produsului să nu fie în limba țării de destinație; este posibil ca produsele (și materialele însoțitoare) să nu fie proiectate în conformitate cu standardele, specificațiile și cerințele privind etichetarea din țara de destinație; este posibil ca produsele să nu fie conforme cu voltajul și cu alte standarde electrice din țara de destinație (necesitând utilizarea unui adaptor sau convertor, dacă este cazul). Destinatarul este responsabil pentru asigurarea faptului că produsul poate fi importat legal în țara de destinație. Când comandați de pe Ubuy sau de la afiliații acestuia, destinatarul este importatorul înregistrat și trebuie să respecte toate legile și reglementările din țara de destinație
- Nu toate produsele listate pe Ubuy sunt de vânzare, deoarece Ubuy este un motor de căutare global. Produsele sunt supuse reglementărilor privind exportul/comerțul.
RON 367
Comandați acum și primiți Sâmbătă, August 08
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Caracteristici și avantaje
- 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.