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Mathematica Data Analysis
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Index
ThebookisforthosewhowanttolearntousethepowerofMathematicatoanalyzeandprocessdata.PerhapsyouarealreadyfamiliarwithdataanalysisbuthaveneverusedMathematica,oryouknowMathematicabutyouarenewtodataanalysis.Withthehelpofthisbook,youwillbeabletoquicklycatchuponthekeypointsforasuccessfulstart.
目錄(67章)
倒序
- 封面
- 版權頁
- Credits
- About the Author
- About the Reviewer
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. First Steps in Data Analysis
- System installation
- Setting up the system
- The Mathematica front end and kernel
- Main features for writing expressions
- Summary
- Chapter 2. Broad Capabilities for Data Import
- Permissible data format for import
- Importing data in Mathematica
- Additional cleaning functions and data conversion
- Importing strings
- Importing data from Mathematica's notebooks
- Controlling data completeness
- Summary
- Chapter 3. Creating an Interface for an External Program
- Wolfram Symbolic Transfer Protocol
- Interface implementation with a program in С/С++
- Interacting with .NET programs
- Interacting with Java
- Interacting with R
- Summary
- Chapter 4. Analyzing Data with the Help of Mathematica
- Data clustering
- Data classification
- Image recognition
- Recognizing faces
- Recognizing text information
- Recognizing barcodes
- Summary
- Chapter 5. Discovering the Advanced Capabilities of Time Series
- Time series in Mathematica
- Mathematica's information depository
- Process models of time series
- Choosing the best time series process model
- Tests on stationarity invertibility and autocorrelation
- Summary
- Chapter 6. Statistical Hypothesis Testing in Two Clicks
- Hypotheses about the mean
- Hypotheses about the variance
- Checking the degree of sample dependence
- Hypotheses on true sample distribution
- Summary
- Chapter 7. Predicting the Dataset Behavior
- Classical predicting
- Image processing
- Probability automaton modelling
- Summary
- Chapter 8. Rock-Paper-Scissors – Intelligent Processing of Datasets
- Interface development in Mathematica
- Markov chains
- Creating a portable demonstration
- Summary
- Index 更新時間：2021-07-30 09:44:08
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