售 价：¥
6.2
温馨提示：数字商品不支持退换货，不提供源文件，不支持导出打印
为你推荐
Title Page
Title Page
Copyright
Copyright
MATLAB for Machine Learning
MATLAB for Machine Learning
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Why subscribe?
Why subscribe?
Customer Feedback
Customer Feedback
Preface
Preface
What this book covers
What this book covers
What you need for this book
What you need for this book
Who this book is for
Who this book is for
Conventions
Conventions
Reader feedback
Reader feedback
Customer support
Customer support
Downloading the example code
Downloading the example code
Errata
Errata
Piracy
Piracy
Questions
Questions
Getting Started with MATLAB Machine Learning
Getting Started with MATLAB Machine Learning
ABC of machine learning
ABC of machine learning
Discover the different types of machine learning
Discover the different types of machine learning
Supervised learning
Supervised learning
Unsupervised learning
Unsupervised learning
Reinforcement learning
Reinforcement learning
Choosing the right algorithm
Choosing the right algorithm
How to build machine learning models step by step
How to build machine learning models step by step
Introducing machine learning with MATLAB
Introducing machine learning with MATLAB
System requirements and platform availability
System requirements and platform availability
MATLAB ready for use
MATLAB ready for use
Statistics and Machine Learning Toolbox
Statistics and Machine Learning Toolbox
Datatypes
Datatypes
Supported datatypes
Supported datatypes
Unsupported datatypes
Unsupported datatypes
What can you do with the Statistics and Machine Learning Toolbox?
What can you do with the Statistics and Machine Learning Toolbox?
Data mining and data visualization
Data mining and data visualization
Regression analysis
Regression analysis
Classification
Classification
Cluster analysis
Cluster analysis
Dimensionality reduction
Dimensionality reduction
Neural Network Toolbox
Neural Network Toolbox
Statistics and algebra in MATLAB
Statistics and algebra in MATLAB
Summary
Summary
Importing and Organizing Data in MATLAB
Importing and Organizing Data in MATLAB
Familiarizing yourself with the MATLAB desktop
Familiarizing yourself with the MATLAB desktop
Importing data into MATLAB
Importing data into MATLAB
The Import Wizard
The Import Wizard
Importing data programmatically
Importing data programmatically
Loading variables from file
Loading variables from file
Reading an ASCII-delimited file
Reading an ASCII-delimited file
Comma-separated value files
Comma-separated value files
Importing spreadsheets
Importing spreadsheets
Reading mixed strings and numbers
Reading mixed strings and numbers
Exporting data from MATLAB
Exporting data from MATLAB
Working with media files
Working with media files
Handling images
Handling images
Sound import/export
Sound import/export
Data organization
Data organization
Cell array
Cell array
Structure array
Structure array
Table
Table
Categorical array
Categorical array
Summary
Summary
From Data to Knowledge Discovery
From Data to Knowledge Discovery
Distinguishing the types of variables
Distinguishing the types of variables
Quantitative variables
Quantitative variables
Qualitative variables
Qualitative variables
Data preparation
Data preparation
A first look at data
A first look at data
Finding missing values
Finding missing values
Changing the datatype
Changing the datatype
Replacing the missing value
Replacing the missing value
Removing missing entries
Removing missing entries
Ordering the table
Ordering the table
Finding outliers in data
Finding outliers in data
Organizing multiple sources of data into one
Organizing multiple sources of data into one
Exploratory statistics - numerical measures
Exploratory statistics - numerical measures
Measures of location
Measures of location
Mean, median, and mode
Mean, median, and mode
Quantiles and percentiles
Quantiles and percentiles
Measures of dispersion
Measures of dispersion
Measures of shape
Measures of shape
Skewness
Skewness
Kurtosis
Kurtosis
Exploratory visualization
Exploratory visualization
The Data Statistics dialog box
The Data Statistics dialog box
Histogram
Histogram
Box plots
Box plots
Scatter plots
Scatter plots
Summary
Summary
Finding Relationships between Variables - Regression Techniques
Finding Relationships between Variables - Regression Techniques
Searching linear relationships
Searching linear relationships
Least square regression
Least square regression
The Basic Fitting interface
The Basic Fitting interface
How to create a linear regression model
How to create a linear regression model
Reducing outlier effects with robust regression
Reducing outlier effects with robust regression
Multiple linear regression
Multiple linear regression
Multiple linear regression with categorical predictor
Multiple linear regression with categorical predictor
Polynomial regression
Polynomial regression
Regression Learner App
Regression Learner App
Summary
Summary
Pattern Recognition through Classification Algorithms
Pattern Recognition through Classification Algorithms
Predicting a response by decision trees
Predicting a response by decision trees
Probabilistic classification algorithms - Naive Bayes
Probabilistic classification algorithms - Naive Bayes
Basic concepts of probability
Basic concepts of probability
Classifying with Naive Bayes
Classifying with Naive Bayes
Bayesian methodologies in MATLAB
Bayesian methodologies in MATLAB
Describing differences by discriminant analysis
Describing differences by discriminant analysis
Find similarities using nearest neighbor classifiers
Find similarities using nearest neighbor classifiers
Classification Learner app
Classification Learner app
Summary
Summary
Identifying Groups of Data Using Clustering Methods
Identifying Groups of Data Using Clustering Methods
Introduction to clustering
Introduction to clustering
Similarity and dissimilarity measures
Similarity and dissimilarity measures
Methods for grouping objects
Methods for grouping objects
Hierarchical clustering
Hierarchical clustering
Partitioning clustering
Partitioning clustering
Hierarchical clustering
Hierarchical clustering
Similarity measures in hierarchical clustering
Similarity measures in hierarchical clustering
Defining a grouping in hierarchical clustering
Defining a grouping in hierarchical clustering
How to read a dendrogram
How to read a dendrogram
Verifying your hierarchical clustering
Verifying your hierarchical clustering
Partitioning-based clustering methods - K-means algorithm
Partitioning-based clustering methods - K-means algorithm
The K-means algorithm
The K-means algorithm
The kmeans() function
The kmeans() function
The silhouette plot
The silhouette plot
Partitioning around the actual center - K-medoids clustering
Partitioning around the actual center - K-medoids clustering
What is a medoid?
What is a medoid?
The kmedoids() function
The kmedoids() function
Evaluating clustering
Evaluating clustering
Clustering using Gaussian mixture models
Clustering using Gaussian mixture models
Gaussian distribution
Gaussian distribution
GMM in MATLAB
GMM in MATLAB
Cluster membership by posterior probabilities
Cluster membership by posterior probabilities
Summary
Summary
Simulation of Human Thinking - Artificial Neural Networks
Simulation of Human Thinking - Artificial Neural Networks
Getting started with neural networks
Getting started with neural networks
Basic elements of a neural network
Basic elements of a neural network
The number of hidden layers
The number of hidden layers
The number of nodes within each layer
The number of nodes within each layer
The network training algorithm
The network training algorithm
Neural Network Toolbox
Neural Network Toolbox
A neural network getting started GUI
A neural network getting started GUI
Data fitting with neural networks
Data fitting with neural networks
How to use the Neural Fitting app (nftool)
How to use the Neural Fitting app (nftool)
Script analysis
Script analysis
Summary
Summary
Improving the Performance of the Machine Learning Model - Dimensionality Reduction
Improving the Performance of the Machine Learning Model - Dimensionality Reduction
Feature selection
Feature selection
Basics of stepwise regression
Basics of stepwise regression
Stepwise regression in MATLAB
Stepwise regression in MATLAB
Feature extraction
Feature extraction
Principal Component Analysis
Principal Component Analysis
Summary
Summary
Machine Learning in Practice
Machine Learning in Practice
Data fitting for predicting the quality of concrete
Data fitting for predicting the quality of concrete
Classifying thyroid disease with a neural network
Classifying thyroid disease with a neural network
Identifying student groups using fuzzy clustering
Identifying student groups using fuzzy clustering
Summary
Summary
买过这本书的人还买过
读了这本书的人还在读
同类图书排行榜
购物车
个人中心
