Mathematica Data Analysis

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Mathematica Data Analysis

Author : Sergiy Suchok
Publisher : Packt Publishing Ltd
ISBN 13 : 178588445X
Total Pages : 164 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Mathematica Data Analysis by : Sergiy Suchok

Download or read book Mathematica Data Analysis written by Sergiy Suchok and published by Packt Publishing Ltd. This book was released on 2015-12-24 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn and explore the fundamentals of data analysis with power of Mathematica About This Book Use the power of Mathematica to analyze data in your applications Discover the capabilities of data classification and pattern recognition offered by Mathematica Use hundreds of algorithms for time series analysis to predict the future Who This Book Is For The book is for those who want to learn to use the power of Mathematica to analyze and process data. Perhaps you are already familiar with data analysis but have never used Mathematica, or you know Mathematica but you are new to data analysis. With the help of this book, you will be able to quickly catch up on the key points for a successful start. What You Will Learn Import data from different sources to Mathematica Link external libraries with programs written in Mathematica Classify data and partition them into clusters Recognize faces, objects, text, and barcodes Use Mathematica functions for time series analysis Use algorithms for statistical data processing Predict the result based on the observations In Detail There are many algorithms for data analysis and it's not always possible to quickly choose the best one for each case. Implementation of the algorithms takes a lot of time. With the help of Mathematica, you can quickly get a result from the use of a particular method, because this system contains almost all the known algorithms for data analysis. If you are not a programmer but you need to analyze data, this book will show you the capabilities of Mathematica when just few strings of intelligible code help to solve huge tasks from statistical issues to pattern recognition. If you're a programmer, with the help of this book, you will learn how to use the library of algorithms implemented in Mathematica in your programs, as well as how to write algorithm testing procedure. With each chapter, you'll be more immersed in the special world of Mathematica. Along with intuitive queries for data processing, we will highlight the nuances and features of this system, allowing you to build effective analysis systems. With the help of this book, you will learn how to optimize the computations by combining your libraries with the Mathematica kernel. Style and approach This book takes a step-by-step approach, accompanied by examples, so you get a better understanding of the logic of writing algorithms for data analysis in Mathematica. We provide a detailed explanation of all the nuances of the Mathematica language, no matter what your level of experience is.

Beginning Mathematica and Wolfram for Data Science

Author : Jalil Villalobos Alva
Publisher : Apress
ISBN 13 : 9781484265932
Total Pages : pages
Book Rating : 4.2/5 (659 download)

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Book Synopsis Beginning Mathematica and Wolfram for Data Science by : Jalil Villalobos Alva

Download or read book Beginning Mathematica and Wolfram for Data Science written by Jalil Villalobos Alva and published by Apress. This book was released on 2021-03-28 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book introduces you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages. You’ll see how to use the Wolfram language for data science from a theoretical and practical perspective. Learning this language makes your data science code better because it is very intuitive and comes with pre-existing functions that can provide a welcoming experience for those who use other programming languages. You’ll cover how to use Mathematica where data management and mathematical computations are needed. Along the way you’ll appreciate how Mathematica provides a complete integrated platform: it has a mixed syntax as a result of its symbolic and numerical calculations allowing it to carry out various processes without superfluous lines of code. You’ll learn to use its notebooks as a standard format, which also serves to create detailed reports of the processes carried out. What You Will Learn Use Mathematica to explore data and describe the concepts using Wolfram language commands Create datasets, work with data frames, and create tables Import, export, analyze, and visualize data Work with the Wolfram data repository Build reports on the analysis Use Mathematica for machine learning, with different algorithms, including linear, multiple, and logistic regression; decision trees; and data clustering The fundamentals of the Wolfram Neural Network Framework and how to build your neural network for different tasks How to use pre-trained models from the Wolfram Neural Net Repository Who This Book Is For Data scientists new to using Wolfram and Mathematica as a language/tool to program in. Programmers should have some prior programming experience, but can be new to the Wolfram language.

Bayesian Logical Data Analysis for the Physical Sciences

Author : Phil Gregory
Publisher : Cambridge University Press
ISBN 13 : 113944428X
Total Pages : 498 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Bayesian Logical Data Analysis for the Physical Sciences by : Phil Gregory

Download or read book Bayesian Logical Data Analysis for the Physical Sciences written by Phil Gregory and published by Cambridge University Press. This book was released on 2005-04-14 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at www.cambridge.org/9780521150125.

Statistics with Mathematica

Author : Martha L. Abell
Publisher : Academic Press
ISBN 13 : 9780120415540
Total Pages : 654 pages
Book Rating : 4.4/5 (155 download)

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Book Synopsis Statistics with Mathematica by : Martha L. Abell

Download or read book Statistics with Mathematica written by Martha L. Abell and published by Academic Press. This book was released on 1999 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers the use of Mathematica for applications ranging from descriptive statistics, through multiple regression and nonparametric methods; uses virtually all of Mathematica's built-in statistical commands, as well as those contained in various Mathematica packages; Additionally, the authors have written numerous procedures to extend Mathematica's capabilities, which are also included on the CD-ROM

An Introduction to Statistics with the Wolfram Language

Author : Juan H. Klopper
Publisher : Wolfram Media Incorporated
ISBN 13 : 9781579550332
Total Pages : pages
Book Rating : 4.5/5 (53 download)

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Book Synopsis An Introduction to Statistics with the Wolfram Language by : Juan H. Klopper

Download or read book An Introduction to Statistics with the Wolfram Language written by Juan H. Klopper and published by Wolfram Media Incorporated. This book was released on 2020-05-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hands-on Start to Wolfram Mathematica

Author : Cliff Hastings
Publisher :
ISBN 13 : 9781579550127
Total Pages : 0 pages
Book Rating : 4.5/5 (51 download)

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Book Synopsis Hands-on Start to Wolfram Mathematica by : Cliff Hastings

Download or read book Hands-on Start to Wolfram Mathematica written by Cliff Hastings and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: For more than 25 years, Mathematica has been the principal computation environment for millions of innovators, educators, students, and others around the world. This book is an introduction to Mathematica. The goal is to provide a hands-on experience introducing the breadth of Mathematica with a focus on ease of use. Readers get detailed instruction with examples for interactive learning and end-of-chapter exercises. Each chapter also contains authors' tips from their combined 50+ years of Mathematica use.

Mathematica Data Visualization

Author : Nazmus Saquib
Publisher : Packt Publishing Ltd
ISBN 13 : 1783283009
Total Pages : 207 pages
Book Rating : 4.7/5 (832 download)

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Book Synopsis Mathematica Data Visualization by : Nazmus Saquib

Download or read book Mathematica Data Visualization written by Nazmus Saquib and published by Packt Publishing Ltd. This book was released on 2014-09-25 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.

Mathematical Statistics with Mathematica

Author : Colin Rose
Publisher : Springer
ISBN 13 : 9780387952345
Total Pages : 508 pages
Book Rating : 4.9/5 (523 download)

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Book Synopsis Mathematical Statistics with Mathematica by : Colin Rose

Download or read book Mathematical Statistics with Mathematica written by Colin Rose and published by Springer. This book was released on 2002 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text and software package presents a unified approach for doing mathematical statistics with Mathematica. The mathStatica software empowers the student with the ability to solve difficult problems. The professional statistician should be able to tackle tricky multivariate distributions, generating functions, inversion theorems, symbolic maximum likelihood estimation, unbiased estimation, and the checking and correcting of textbook formulae. This is the ideal companion for researchers and students in statistics, econometrics, engineering, physics, psychometrics, economics, finance, biometrics, and the social sciences. The mathStatica CD-ROM includes: mathStatica - the applications pack for mathematical statistics, custom Mathematica palettes, live interactive book that is identical to the printed text, online help, and a trial version of Mathematica 4.0.

Advanced Excel for Scientific Data Analysis

Author : Robert De Levie
Publisher : Oxford University Press, USA
ISBN 13 : 0195152751
Total Pages : 631 pages
Book Rating : 4.1/5 (951 download)

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Book Synopsis Advanced Excel for Scientific Data Analysis by : Robert De Levie

Download or read book Advanced Excel for Scientific Data Analysis written by Robert De Levie and published by Oxford University Press, USA. This book was released on 2004 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide to Excel focuses on three areas--least squares, Fourier transformation, and digital simulation. It illustrates the techniques with detailed examples, many drawn from the scientific literature. It also includes and describes a number of sample macros and functions to facilitate common data analysis tasks. De Levie is affiliated with Bowdoin College. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).

Introduction to Machine Learning

Author : Shan-e-Fatima
Publisher : Blue Rose Publishers
ISBN 13 :
Total Pages : 189 pages
Book Rating : 4./5 ( download)

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Book Synopsis Introduction to Machine Learning by : Shan-e-Fatima

Download or read book Introduction to Machine Learning written by Shan-e-Fatima and published by Blue Rose Publishers. This book was released on 2023-09-25 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the use of machine learning (ML), which is a form of artificial intelligence (AI), software programmers may predict outcomes more accurately without having to be explicitly instructed to do so. In order to forecast new output values, machine learning algorithms use historical data as input. Machine learning is frequently used in recommendation engines. Business process automation (BPA), predictive maintenance, spam filtering, malware threat detection, and fraud detection are a few additional common uses. Machine learning is significant because it aids in the development of new goods and provides businesses with a picture of trends in consumer behavior and operational business patterns. For many businesses, machine learning has emerged as a key competitive differentiation. The fundamental methods of machine learning are covered in the current book.

GIS and Spatial Analysis for the Social Sciences

Author : Robert Nash Parker
Publisher : Routledge
ISBN 13 : 1135857598
Total Pages : 254 pages
Book Rating : 4.1/5 (358 download)

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Book Synopsis GIS and Spatial Analysis for the Social Sciences by : Robert Nash Parker

Download or read book GIS and Spatial Analysis for the Social Sciences written by Robert Nash Parker and published by Routledge. This book was released on 2009-09-10 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to provide sociologists, criminologists, political scientists, and other social scientists with the methodological logic and techniques for doing spatial analysis in their chosen fields of inquiry. The book contains a wealth of examples as to why these techniques are worth doing, over and above conventional statistical techniques using SPSS or other statistical packages. GIS is a methodological and conceptual approach that allows for the linking together of spatial data, or data that is based on a physical space, with non-spatial data, which can be thought of as any data that contains no direct reference to physical locations.

Complex Analysis with MATHEMATICA®

Author : William T. Shaw
Publisher : Cambridge University Press
ISBN 13 : 0521836263
Total Pages : 6 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Complex Analysis with MATHEMATICA® by : William T. Shaw

Download or read book Complex Analysis with MATHEMATICA® written by William T. Shaw and published by Cambridge University Press. This book was released on 2006-04-20 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a way of learning complex analysis, using Mathematica. Includes CD with electronic version of the book.

The Beginner's Guide to MATHEMATICA ®, Version 4

Author : Jerry Glynn
Publisher : Cambridge University Press
ISBN 13 : 9780521777698
Total Pages : 496 pages
Book Rating : 4.7/5 (776 download)

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Book Synopsis The Beginner's Guide to MATHEMATICA ®, Version 4 by : Jerry Glynn

Download or read book The Beginner's Guide to MATHEMATICA ®, Version 4 written by Jerry Glynn and published by Cambridge University Press. This book was released on 2000-01-13 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This hugely successful textbook covers all the new features of Mathematica Version 4.

Introduction to Computer Performance Analysis with Mathematica

Author : Arnold O. Allen
Publisher : Morgan Kaufmann Publishers
ISBN 13 :
Total Pages : 394 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Introduction to Computer Performance Analysis with Mathematica by : Arnold O. Allen

Download or read book Introduction to Computer Performance Analysis with Mathematica written by Arnold O. Allen and published by Morgan Kaufmann Publishers. This book was released on 1994 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Systems Organization -- Performance of Systems.

From Curve Fitting to Machine Learning

Author : Achim Zielesny
Publisher : Springer
ISBN 13 : 9783319813134
Total Pages : 498 pages
Book Rating : 4.8/5 (131 download)

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Book Synopsis From Curve Fitting to Machine Learning by : Achim Zielesny

Download or read book From Curve Fitting to Machine Learning written by Achim Zielesny and published by Springer. This book was released on 2018-04-22 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics.The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence.All topics are completely demonstrated with the computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with Mathematica's programming language on top of Mathematica's algorithms. CIP is open-source and the detailed code used throughout the book is freely accessible.The target readerships are students of (computer) science and engineering as well as scientific practitioners in industry and academia who deserve an illustrative introduction. Readers with programming skills may easily port or customize the provided code. "'From curve fitting to machine learning' is ... a useful book. ... It contains the basic formulas of curve fitting and related subjects and throws in, what is missing in so many books, the code to reproduce the results.All in all this is an interesting and useful book both for novice as well as expert readers. For the novice it is a good introductory book and the expert will appreciate the many examples and working code". Leslie A. Piegl (Review of the first edition, 2012).

The Mathematica GuideBook for Programming

Author : Michael Trott
Publisher : Springer
ISBN 13 : 1441985034
Total Pages : 1060 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis The Mathematica GuideBook for Programming by : Michael Trott

Download or read book The Mathematica GuideBook for Programming written by Michael Trott and published by Springer. This book was released on 2013-12-21 with total page 1060 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive, detailed reference provides readers with both a working knowledge of Mathematica in general and a detailed knowledge of the key aspects needed to create the fastest, shortest, and most elegant implementations possible. It gives users a deeper understanding of Mathematica by instructive implementations, explanations, and examples from a range of disciplines at varying levels of complexity. The three volumes -- Programming, Graphics, and Mathematics, total 3,000 pages and contain more than 15,000 Mathematica inputs, over 1,500 graphics, 4,000+ references, and more than 500 exercises. This first volume begins with the structure of Mathematica expressions, the syntax of Mathematica, its programming, graphic, numeric and symbolic capabilities. It then covers the hierarchical construction of objects out of symbolic expressions, the definition of functions, the recognition of patterns and their efficient application, program flows and program structuring, and the manipulation of lists. An indispensible resource for students, researchers and professionals in mathematics, the sciences, and engineering.

Applied Mathematica

Author : William T. Shaw
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 460 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Applied Mathematica by : William T. Shaw

Download or read book Applied Mathematica written by William T. Shaw and published by Addison-Wesley Professional. This book was released on 1994 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by two authors who have been teaching Mathematica courses to scientists and engineers for years, this book is a must for anyone who needs to use Mathematica to solve complex problems in the applied sciences. The book tackles complex, practical problems, and shows how to solve them from start to finish.