Description: 机器学习经典书籍The Elements of Statistical Learning--Data Mining, Inference and Prediction. 作者：Friedman-Machine learning classic book The Elements of Statistical Learning Data Mining, Inference and Prediction. Author: Friedman Platform: |
Size: 4515840 |
Author:张中举 |
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Description: Friedman 的The Elements of Statistical Learning (Data Mining, Inference and Prediction)， 附有djvu阅读器-The Elements of Statistical Learning (Data Mining, Inference and Prediction) by Friedman, along with djvu reader Platform: |
Size: 4515840 |
Author:杨过 |
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Description: The Elements of Statistical Learning---
Data Mining, Inference, and Prediction，大牛的大作-The Elements of Statistical Learning--- Data Mining, Inference, and Prediction Platform: |
Size: 7526400 |
Author:yujianjun |
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Description: elements of statistical learning 统计学习与推理的经典教材-elements of statistical learning statistical learning and reasoning of the classical textbook Platform: |
Size: 7527424 |
Author:nadia |
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Description: 本论文将支持向量机的机器学习方法引入到尿沉渣有形成分的分类问题。
首先概述了支持向量机的理论基础，着重介绍了统计学习理论的核心内容、支
持向量机数学模型和核函数理论
-In this paper, SVM machine learning method is introduced to the classification of urinary sediment formed elements. First outlined the theoretical basis of support vector machines, statistical learning theory focuses on the core content, support vector machine model and nuclear function theory Platform: |
Size: 2955264 |
Author:zhouwuzhengwang |
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Description: 《统计学习基础：数据挖掘、推理与预测》的全彩英文版，人工智能机器学习领域的必读书目，此版本为最新的第三次排版，很有价值-<The elements of statistical learning:Data mining,inference,and prediction>,color edition,the must-own book in the area of AI/Machine Learning,and it s the latest edition of publishment with a great value Platform: |
Size: 10975232 |
Author:李若冰 |
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Description: 统计学习推理教材，适合研究生使用。其中包括了分类，回归，svm以及贝叶斯分类等方法-Statistical reasoning learning materials for students to use. Including classification, regression, svm, and Bayesian classification methods
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Size: 7546880 |
Author:tommy |
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Description: 斯坦福大学经典教材 统计学习基础，系统完整-Stanford University classic textbook the elements of statistical learning Platform: |
Size: 12216320 |
Author:龙胜 |
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Description: 英文名字是The Elements of Statistical Learning，这是英文版本，基本上用得很多的是里面的线性回归知识和岭回归。-The English name is The Elements of Statistical Learning, which is the English version, basically with a lot of the inside of the linear regression of knowledge and ridge regression. Platform: |
Size: 12180480 |
Author:冯玲珑 |
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Description: The Elements of Statistical Learning，一本灰常牛的统计学习的书籍，做机器学习和数据挖掘的孩子必读书籍之一。讲解很清晰，最重要的是实例充足，理解起来非常容易。-The Elements of Statistical Learning——an excellent statistical learning book in both area of machin learning and data mining. In this book, sufficient practices are presented and consist a book which could be easily understand. Platform: |
Size: 12215296 |
Author:xiebiwei |
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Description: 统计学习基础——数据挖掘、推理与预测。数据挖掘经典教材。-The classical book for data mining. The Elements of Statistical Learning, Data Mining, Inferrence, and Prediction. Platform: |
Size: 12242944 |
Author:Jane |
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Description: 《统计学习基础——数据挖掘、推理与预测》一书的学习笔记整理，能使读者对该书有更直观的了解。-" Statistical Learning basis- data mining, inference and prediction," the study notes finishing a book, the book allows readers to have a more intuitive understanding. Platform: |
Size: 3334144 |
Author:瑶台琼枝 |
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Description: 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 is 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.(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.) Platform: |
Size: 29292544 |
Author:泼墨丹青
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