The elements of statistical learning - Data mining, inference, and prediction

✍ Scribed by Trevor Hastie et al.

Publisher: Springer
Year: 2008
Tongue: English
Leaves: 808
Edition: 2
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

The Elements Of Statistical Learning, Da

📁 The Elements Of Statistical Learning, Data Mining Inference And Prediction

✍ Jerome Friedman, Trevor Hastie, Robert Tibshirani 📂 Library 📅 2009 🏛 Springer 🌐 English

The Elements Of Statistical Learning, Da

📁 The Elements Of Statistical Learning, Data Mining Inference And Prediction

✍ Jerome Friedman, Trevor Hastie, Robert Tibshirani 📂 Library 📅 2009 🏛 Springer 🌐 English

The Elements of Statistical Learning, Da

📁 The Elements of Statistical Learning, Data Mining Inference and Prediction

✍ J.Friedman, T.Hastie, R.Tibshirani 📂 Library 📅 2009 🏛 Springer 🌐 English

The Elements of Statistical Learning: Da

📁 The Elements of Statistical Learning: Data Mining, Inference, and Prediction

✍ Trevor Hastie, Robert Tibshirani, Jerome Friedman 📂 Library 📅 2003 🏛 Springer 🌐 English

<P>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 f

The Elements of Statistical Learning : D

📁 The Elements of Statistical Learning : Data Mining, Inference and Prediction

✍ Trevor Hastie, Robert Tibshirani, Jerome Friedman 📂 Library 📅 2013 🏛 Springer 🌐 English

With Table of Contents

The Elements of Statistical Learning: Da

📁 The Elements of Statistical Learning: Data Mining, Inference, and Prediction

✍ Trevor Hastie; Robert Tibshirani; Jerome Friedman 📂 Library 📅 2009 🏛 Springer 🌐 English

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 fiel