CIABURRO MATLAB PDF
: MATLAB for Machine Learning: pages. Key FeaturesGet your first steps into machine learning with the help of this easy-to-follow. VP Romero, L Maffei, G Brambilla, G Ciaburro G Iannace, G Ciaburro, L Maffei Matlab. Versione 7. xe precedenti. Guida all’uso. G Ciaburro. Edizioni FAG. Buy MATLAB for Machine Learning by Giuseppe Ciaburro – Paperback at best price in Dubai – UAE. Shop Education, Learning & Self Help Books |
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See if you have enough points for this item. This 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. 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 maatlab to display data values on a plot. Next, you’ll get to know about the different types of regression techniques and how matkab 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 matlag 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. 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.
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Chi ama i libri sceglie Kobo e inMondadori. Or, get it for Kobo Super Points! Who This Book Is For This 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.
What You Will Learn Learn the introductory concepts of machine learning. 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.
Learn feature selection and extraction for dimensionality reduction leading to improved performance. Ratings and Reviews 0 0 star ratings 0 reviews.
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