更新时间：2021-07-30 09:44:08
封面
版权页
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
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
Chapter 4. Analyzing Data with the Help of Mathematica
Data clustering
Data classification
Image recognition
Recognizing faces
Recognizing text information
Recognizing barcodes
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
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
Chapter 7. Predicting the Dataset Behavior
Classical predicting
Image processing
Probability automaton modelling
Chapter 8. Rock-Paper-Scissors – Intelligent Processing of Datasets
Interface development in Mathematica
Markov chains
Creating a portable demonstration
Index
