Found insideThe text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading. The authors are tops in the field of advanced mathematics, including Steve Smale who is a recipient of the Field's Medal for his work in dynamical systems. * Developed by award-winning researchers and authors * Provides a rigorous yet ... Found insideThis textbook is aimed at newcomers to nonlinear dynamics and chaos, especially students taking a first course in the subject. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students. Found insideAn authorised reissue of the long out of print classic textbook, Advanced Calculus by the late Dr Lynn Loomis and Dr Shlomo Sternberg both of Harvard University has been a revered but hard to find textbook for the advanced calculus course ... Found insideEvery chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer ... Found insideThis book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, ... Building on the basic techniques of separation of variables and Fourier series, the book presents the solution of boundary-value problems for basic partial differential equations: the heat equation, wave equation, and Laplace equation, ... Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures. New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students. This introduction to the MDL Principle provides a reference accessible to graduate students and researchers in statistics, pattern classification, machine learning, and data mining, to philosophers interested in the foundations of ... Found insideThis book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The book is intended for graduate students and researchers in machine learning, statistics, and related areas; it can be used either as a textbook or as a reference text for a research seminar. This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. This second edition expands and updates the coverage of the first edition (1996) and includes numerous improvements to the original material. An introductory course on differential equations aimed at engineers. The book covers first order ODEs, higher order linear ODEs, systems of ODEs, Fourier series and PDEs, eigenvalue problems, the Laplace transform, and power series methods. This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. These C programs and JAVA tools can be found on the book's website. The website also includes new online instructional tools and exercises. This Fourth Edition introduces the latest theory and applications in optimization. JMP 11 Multivariate Methods shows you how to take advantage of the modeling platforms Multivariate, Cluster, Discriminant, Principal Components, and Partial Least Squares. Found insidePractitioners in these and related fields will find this book perfect for self-study as well. Apply powerful Data Mining Methods and Models to Leverage your Data for Actionable Results Data Mining Methods and Models provides: * The latest techniques for uncovering hidden nuggets of information * The insight into how the data mining ... Unlike most texts for the one-term grad/upper level course on experimental design, Oehlert's new book offers a superb balance of both analysis and design, presenting three practical themes to students: • when to use various designs • ... This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. A comprehensive introduction to the tools, techniques and applications of convex optimization. The book then discusses SSL applications and offers guidelines for SSLpractitioners by analyzing the results of extensive benchmark experiments. Finally, the book looksat interesting directions for SSL research. Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn ... Presents a unified, efficient model of random decision forests which can be used in a number of applications such as scene recognition from photographs, object recognition in images, automatic diagnosis from radiological scans and document ... This tutorial manual provides a comprehensive introduction to R, a software package for statistical computing and graphics. The text has been developed to meet the scope and sequence of most university physics courses and provides a foundation for a career in mathematics, science, or engineering. Found insideThis encyclopedia is the first major reference guide for students new to the field, covering traditional areas while pointing the way to future developments. Found inside – Page iThis book constitutes the refereed proceedings of the 4th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2017, held in Gurgaon, India, in October 2017. The book concludes with coverage of the WLAN toolbox with OFDM beacon reception and the LTE toolbox with downlink reception. Multiple case studies are provided throughout the book. Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets. This volume reflects the current state of scientific knowledge about natural climate variability on decade-to-century time scales. Found inside – Page 246Solving (10) comes down to calculating the eigenvalue decomposition (EVD) ... Then, w2 = D −1/2 c m2, which is equivalent to the first column of W2 in CA. This second edition includes a set of these assigned problems as compiled by one of his former students, Robert A. Schluter. Enrico Fermi was awarded the Nobel Prize for Physics in 1938. How does the internet really work? This book explains the technology behind it all, in simple question and answer format. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). Video Links Go behind the scenes of the Fourth Edition, and find out about the man behind the book Watch Andy introduce SAGE MobileStudy Ask Andy Anything: Teaching stats... and Robbie Williams' head Ask Andy Anything: Gibson or Fender Ask ... In recent decades, this diminution of the power of Noether's Theorem has been partly countered, in particular, in the review of Sarlet and Cantrijn. The book's approach not only explains the presented mathematics, but also helps readers understand how these numerical methods are used to solve real-world problems. A guide to software development using the R programming language covers such topics as closures, recursion, anonymous functions, and debugging techniques. Found insideWith this hands-on introduction readers will learn what SDEs are all about and how they should use them in practice. Found inside – Page 87Sketch (roughly) each of the solutions for the latter case and note their similarity ... What can you say about the eigenfunctions and eigenvalues for this ... Found insideThis book covers the fundamentals of machine learning with Python in a concise and dynamic manner. This book introduces modern tools of numerical linear algebra based on this background, heavy in applied analysis but light in matrix canonical forms and their algebraic properties. Appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering. Are two versions of the first edition ( 1996 ) and includes numerous improvements to the original material the... Computer vision found in departments of computer Science, computer Engineering and Electrical Engineering newcomers to nonlinear dynamics and,. The current state of scientific knowledge about natural climate variability on decade-to-century time scales behind all! 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