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The Elements of Statistical Learning: Data Mining, Inference, and Pred

The Elements of Statistical Learning: Data Mining, Inference, and Pred

₹875

During the past decade there has been an explosion in computation and information technology. With it has 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. 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 wrote much of the statistical modeling software in 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, and projection pursuit.

2 years ago
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Coordinate geometry

Coordinate geometry

₹100 ₹140
29% off

The Classic Text Series is the only of its kind selection of classic pieces of work that started off as bestseller and continues to be the bestseller even today. These classic texts have been designed so as to work as elementary textbooks which play a crucial role in building the concepts from scratch as in-depth knowledge of concepts is necessary for students preparing for various entrance examinations.The present book on The Elements of CoordinateGeometry Part 1 Cartesian Coordinates has presented the elements of Coordinate Geometry in a manner suitable for beginners and junior students. The Part 1 of this book containing 1100 examples deals with only Cartesian and polar coordinates. The book has been divided into 17 chapters namely Introduction Some Algebraic Results Coordinates Lengths of Straight Lines Areas of Triangles Locus Equation to a Locus The Straight Line Rectangular Coordinates The Straight Line Polar Equations Oblique Coordinates Equations Representing Two or More Straight Lines Transformation of Coordinates The Circle Systems of Circles Conic Sections the Parabola The Ellipse The Hyperbola Polar Equation to a Conic General Equation Tracking of Curves General Equation and Miscellaneous Propositions covering various concepts of CoordinateGeometry. Each chapter in the book begins with point wise introduction of the various concepts that are covered under a particular topic followed by examples helping understand the concepts better. The solved examples have been provided topic-wise for effective comprehension. At the end of each chapter unsolved practice exercises have been provided to help aspirants revise the concepts discussed in the chapter.Also miscellaneous propositions covering all the chapters and the concepts involved have been given at the end after the chapterwise study of the various concepts. At the end of the book answers and solutions to the unsolved practice exercises provided in between the chap

2 years ago
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