The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)

Name: The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
Rating: 4.43 (1911 reviews)
Author: Hastie, Trevor
ISBN: 9780387952840

Hastie, Trevor

1,911 ratings by Goodreads

Language: English

Published by Springer, 2003

0387952845 / 9780387952840

Series: Book 62 of 160 - Springer Series in Statistics

Hardcover
New

See all details

Seller: GoldBooks, Denver, CO, U.S.A.GoldBooks

5-star seller

AbeBooks seller since May 15, 2019

View this seller's items

Hardcover

Condition: New

£ 58.24

£ 4.03 shipping

Ships within U.S.A.

Quantity: 1 available

Add to basket

Save for laterCreate a Want for similar items

Item description from seller

New Copy. Customer Service Guaranteed.

Seller Inventory # 48K69_31_0387952845

Contact seller about this item

Report this item

Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
Author: Hastie, Trevor
Publisher: Springer
Publication year: 2003
Condition: new
Binding: Hardcover
Language: English
ISBN 10: 0387952845
ISBN 13: 9780387952840
Series: Book 62 of 160: Springer Series in Statistics

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry.The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting - the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression and path algorithms for the lasso, non-negative matrix factorization, and spectral clustering.There is also a chapter on methods for 'wide' data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful "An Introduction to the Bootstrap". Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

"Synopsis" may belong to another edition of this title.

GoldBooks

Denver, CO, U.S.A.

5-star seller

AbeBooks seller since May 15, 2019

Shipping rates within U.S.A.

Item	4 to 14 business days	3 to 8 business days
First item	£ 4.03	£ 9.35

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.

Payment methods

Store description

We are dedicated to providing customers with easy, flawless transactions and excellent books! We provide 100% customer satisfaction and are always here to answer any questions or concerns for our customers.

Specialty

Non-Fiction across all genres, Fiction

Seller's business information

Farm For Books Inc

1734 Bellaire Street
Denver, CO U.S.A. 80220

Contact sellerView this seller's itemsView seller's storefront

Terms of sale

We ship from Colorado, U.S.A!

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 GoldBooks, Comfort, Texas, U.S.A., 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.

The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)

Item description from seller

Bibliographic details

Synopsis

About the title

About the Author