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Author: Mahathi Narayanaswamy
Publisher: Chennai Young Naturalists' Network
ISBN:
Category : Fiction
Languages : en
Pages : 42
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Book Description
A free e-Magazine written and published by Young Naturalists' based in Chennai.
Author: Mahathi Narayanaswamy
Publisher: Chennai Young Naturalists' Network
ISBN:
Category : Fiction
Languages : en
Pages : 42
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Book Description
A free e-Magazine written and published by Young Naturalists' based in Chennai.
Author: Trevor Hastie
Publisher: Springer Science & Business Media
ISBN: 0387216065
Category : Mathematics
Languages : en
Pages : 545
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Book Description
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 & 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.
Author: Sir Lewis Amherst Selby-Bigge
Publisher:
ISBN:
Category : Ethics
Languages : en
Pages : 508
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Book Description
Author: Boston Society of Natural History
Publisher:
ISBN:
Category : Natural history
Languages : en
Pages : 980
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Book Description
Author: Frederick Pollock
Publisher:
ISBN:
Category : Law
Languages : en
Pages : 740
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Book Description
Author: Herbert Spencer
Publisher:
ISBN:
Category : Ethics
Languages : en
Pages : 606
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Book Description
Author: Kevin P. Murphy
Publisher: MIT Press
ISBN: 0262369303
Category : Computers
Languages : en
Pages : 858
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Book Description
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.
Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 236
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Book Description
Author: Martin Fowler
Publisher: Addison-Wesley Professional
ISBN: 0201485672
Category : Computers
Languages : en
Pages : 461
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Book Description
Refactoring is gaining momentum amongst the object oriented programming community. It can transform the internal dynamics of applications and has the capacity to transform bad code into good code. This book offers an introduction to refactoring.
Author: H. C. Curtius
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3111433994
Category : Medical
Languages : en
Pages : 912
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Book Description
No detailed description available for "CLINICAL BIOCHEMISTRY (CURTIUS) V. 2 CBPM E-BOOK".
