An Introduction to Statistical Learning
James, Gareth|Witten, Daniela|Hastie, Trevor|Tibshirani, Robert|Taylor, Jonathan
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2023
- Hardcover
- New
Condition: New
£ 88.87
Quantity: 1 available
Add to basketSeller Inventory # 892114318
- Title
- An Introduction to Statistical Learning
- Author
- James, Gareth|Witten, Daniela|Hastie, Trevor|Tibshirani, Robert|Taylor, Jonathan
- Publisher
- Springer, Berlin|Springer International Publishing|Springer
- Publication year
- 2023
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3031387465
- ISBN 13
- 9783031387463
- Dimensions
- 3 x 26.1 x 18.8
- Series
- Book 104 of 111: 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 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.
Four 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.
"Synopsis" may belong to another edition of this title.
About the Author
Gareth James is the John H. Harland Dean of Goizueta Business School at Emory University. He has published an extensive body of methodological work in the domain of statistical learning with particular emphasis on high-dimensional and functional data. The conceptual framework for this book grew out of his MBA elective courses in this area.
Daniela Witten is a professor of statistics and biostatistics, and the Dorothy Gilford Endowed Chair, at University of Washington. Her research focuses largely on statistical machine learning techniques for the analysis of complex, messy, and large-scale data, with an emphasis on unsupervised learning.
Trevor Hastie and Robert Tibshirani are professors of statistics at Stanford University and are co-authors of the successful textbook Elements of Statistical Learning. Hastie and Tibshirani developed generalized additive models and wrote a popular book with that title. Hastie co-developed much of the statistical modeling software and environment in R, and invented principal curves and surfaces. Tibshirani invented the lasso and is co-author of the very successful book, An Introduction to the Bootstrap. They are both elected members of the US National Academy of Sciences.
Jonathan Taylor is a professor of statistics at Stanford University. His research focuses on selective inference and signal detection in structured noise.
"About the title" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 11 to 35 business days | 11 to 35 business days |
|---|---|---|
| First item | £ 41.52 | £ 41.52 |
Payment methods
- Bank Wire Transfer
- Check
- Paypal
Store description
Online Handel nur mit Neubüchern
Seller's business information
Moluna GmbH
Engberdingdamm 27
Greven, Germany 48268
Terms of sale
About Us
Legal website operator identification:
Moluna GmbH
Represented by the general manager Helge Blischke
Engberdingdamm 27
48268 Greven
Germany
Telephone: 02571/5698933
Telefax: 02571/5698930
E-Mail: abe@moluna.de
VAT No.: DE296281834
listed in the commercial register of the local court Steinfurt
Commercial register number - Part B of the commercial register - 10553
We are a member of the initiative „FairCommerce“ since 24.07.2015.
For more information, see: www.haendlerbund.de/faircommerce.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to moluna, Greven, Germany, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.