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Pattern Recognition and Machine Learning

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  • Uploaded on: 22-Oct-2023

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Pattern Recognition and Machine Learning
The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.

This completely new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher. The book is supported by a great deal of additional material, and the reader is encouraged to visit the book web site for the latest information.


What is an eBook?

An eBook, short for electronic book, is a digital version of a printed book that can be read on electronic devices such as e-readers, tablets, smartphones, or computers. eBooks are designed to provide the same reading experience as a physical book but in a digital format.

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PDF stands for Portable Document Format. It is a file format that was created by Adobe Systems in the 1990s. The purpose behind PDF was to allow documents to be shared and viewed across different operating systems and devices while preserving their original formatting.

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PDFs are commonly used for a range of purposes, such as:

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3. E-books and Manuals: Many e-books, guides, manuals, and technical documents are distributed in PDF format due to their ability to maintain visual integrity and compatibility.

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In summary, PDF is a versatile and widely-used file format that ensures documents can be viewed and shared across different platforms while maintaining their original layout and formatting. If you have any more questions about PDFs or need further clarification, feel free to ask!

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