MATLAB for Machine Learning: Unlock the power of deep learning for swift and enh

Description: MATLAB for Machine Learning by Giuseppe Ciaburro Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Unlock the power of MATLAB for machine learning with this comprehensive guide. Publisher Description Master MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applicationsKey FeaturesWork with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithmsEvaluate, deploy, and operationalize your custom models, incorporating bias detection and pipeline monitoringUncover effective approaches to deep learning for computer vision, time series analysis, and forecastingPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications.By navigating the versatile machine learning tools in the MATLAB environment, youll learn how to seamlessly interact with the workspace. Youll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, youll explore various classification and regression techniques, skillfully applying them with MATLAB functions.This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. Youll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, youll leverage MATLAB tools for deep learning and managing convolutional neural networks.By the end of the book, youll be able to put it all together by applying major machine learning algorithms in real-world scenarios.What you will learnDiscover different ways to transform data into valuable insightsExplore the different types of regression techniquesGrasp the basics of classification through Naive Bayes and decision treesUse clustering to group data based on similarity measuresPerform data fitting, pattern recognition, and cluster analysisImplement feature selection and extraction for dimensionality reductionHarness MATLAB tools for deep learning explorationWho this book is forThis book is for ML engineers, data scientists, DL engineers, and CV/NLP engineers who want to use MATLAB for machine learning and deep learning. A fundamental understanding of programming concepts is necessary to get started. Author Biography Giuseppe Ciaburro holds a PhD and two masters degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the worlds top 2% scientists list by Stanford University (2022). Details ISBN 1835087698 ISBN-13 9781835087695 Title MATLAB for Machine Learning Author Giuseppe Ciaburro Format Paperback Year 2024 Pages 374 Edition 2nd Publisher Packt Publishing Limited GE_Item_ID:157988862; About Us Grand Eagle Retail is the ideal place for all your shopping needs! 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End Time: 2024-11-14T04:22:52.000Z

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