MATLAB for Machine Learning - 9 Angebote vergleichen

Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Paperback. 376 pages. Key FeaturesGet your first steps into machine learning with the help of this easy-to-follow guideLearn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLABUnderstand how your data works and identify hidden layers in the data with the power of machine learning. Book DescriptionMATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will build foundation for machine learning using MATLAB for beginners. You will start off with getting your system ready with MATLAB environment for machine learning and you will learn how to easily interact with the Matlab workspace. You will then move on to data cleansing, mining and analyze various data types in machine learning and how to display data values on a plot. Following this, you will learn about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You will also learn to explore classification techniques such as K-nearest neighbor analysis, Naive Bayes algorithm and understand decision tree and rules learners. After this, you will dive into unsupervised learning and find groups of data with clustering methods like k-means method and dendrogram. You will comprehend the basic concepts for neural networks and will learn to perform data fitting, pattern recognition, and clustering analysis. Explore feature selection and extraction techniques for dimensionality reduction for performance improvement. . By the end of the book you will learn to put it all together into real world cases covering major machine learning algorithms. By the end of the book, you will be comfortable in performing machine learning with MATLAB. What you will learnLearn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export toolsExplore the different types of regression techniques such as simple and multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm, Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.

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Extract patterns and knowledge from your data in easy way using MATLABAbout This BookGet your first steps into machine learning with the help of this easy-to-follow guideLearn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLABUnderstand how your data works and identify hidden layers in the data with the power of machine learning.Who This Book Is ForThis book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well.What You Will LearnLearn the introductory concepts of machine learning.Discover different ways to transform data using SAS XPORT, import and export tools,Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data.Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment.Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures.Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox.Learn feature selection and extraction for dimensionality reduction leading to improved performance.In DetailMATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners.You'll start by getting your system ready with t he MATLAB environment for machine learning and you'll see how to easily interact with the Matlab workspace. We'll then move on to data cleansing, mining and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions.You'll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you'll explore feature selection and extraction techniques for dimensionality reduction for performance improvement.At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB.Style and approachThe book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work., Kindle Edition, Edition: 1, Format: Kindle eBook, Label: Packt Publishing, Packt Publishing, Product group: eBooks, Published: 2017-08-28, Release date: 2017-09-07, Studio: Packt Publishing, Sales rank: 2040546.

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Von Händler/Antiquariat, Amazon.com.
Key FeaturesGet your first steps into machine learning with the help of this easy-to-follow guideLearn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLABUnderstand how your data works and identify hidden layers in the data with the power of machine learning.Book DescriptionMATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will build foundation for machine learning using MATLAB for beginners.You will start off with getting your system ready with MATLAB environment for machine learning and you will learn how to easily interact with the Matlab workspace. You will then move on to data cleansing, mining and analyze various data types in machine learning and how to display data values on a plot. Following this, you will learn about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You will also learn to explore classification techniques such as K-nearest neighbor analysis, Naive Bayes algorithm and understand decision tree and rules learners.After this, you will dive into unsupervised learning and find groups of data with clustering methods like k-means method and dendrogram. You will comprehend the basic concepts for neural networks and will learn to perform data fitting, pattern recognition, and clustering analysis. Explore feature selection and extraction techniques for dimensionality reduction for performance improvement. . By the end of the book you will learn to put it all together into real world cases covering major machine learning algorithms.By the end of the book, you will be comfortable in performing machine learning with MATLAB.What you will learnLearn the introductory concepts of machine learning.Discover different ways to transform data using SAS XPORT, import and export toolsExplore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data.Discover the basics of classification methods and how to implement Naive Bayes algorithm, Decision Trees in the Matlab environment.Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures.Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox.Learn feature selection and extraction for dimensionality reduction leading to improved performance., Paperback, Label: Packt Publishing - ebooks Account, Packt Publishing - ebooks Account, Product group: Book, Published: 2017-09-06, Studio: Packt Publishing - ebooks Account.

Lieferung aus: Vereinigte Staaten von Amerika, in-stock.
Extract patterns and knowledge from your data in easy way using MATLABAbout This BookGet your first steps into machine learning with the help of this easy-to-follow guideLearn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLABUnderstand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is ForThis book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will LearnLearn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export toolsExplore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm, Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance. In DetailMATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will build foundation for machine learning using MATLAB for beginners. You will start off with getting your system ready with MATLAB environment for machine learning and you will learn how to easily interact with the Matlab workspace. You will then move on to data cleansing, mining and analyze various data types in machine learning and how to display data values on a plot. Following.

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*MATLAB for Machine Learning* - Unlock the power of deep learning for swift and enhanced results / epub eBook für 35.99 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet.

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MATLAB for Machine Learning - Unlock the power of deep learning for swift and enhanced results: ab 35.99 €.

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Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
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MATLAB-for-Machine-Learning~~Giuseppe-Ciaburro, MATLAB for Machine Learning, Paperback.