{"product_id":"matlab-for-machine-learning-second-edition-unlock-the-power-of-deep-learning-for-swift-and-enhanced-results-paperback","title":"MATLAB for Machine Learning - Second Edition: Unlock the power of deep learning for swift and enhanced results - Paperback","description":"\u003cp\u003eby \u003cb\u003eGiuseppe Ciaburro\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMaster MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applications\u003c\/strong\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eWork with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithms\u003c\/li\u003e\n\u003cli\u003eEvaluate, deploy, and operationalize your custom models, incorporating bias detection and pipeline monitoring\u003c\/li\u003e\n\u003cli\u003eUncover effective approaches to deep learning for computer vision, time series analysis, and forecasting\u003c\/li\u003e\n\u003cli\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eDiscover 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.\u003c\/p\u003e\u003cp\u003eBy navigating the versatile machine learning tools in the MATLAB environment, you'll learn how to seamlessly interact with the workspace. You'll 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, you'll explore various classification and regression techniques, skillfully applying them with MATLAB functions.\u003c\/p\u003e\u003cp\u003eThis book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You'll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you'll leverage MATLAB tools for deep learning and managing convolutional neural networks.\u003c\/p\u003e\u003cp\u003eBy the end of the book, you'll be able to put it all together by applying major machine learning algorithms in real-world scenarios.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eDiscover different ways to transform data into valuable insights\u003c\/li\u003e\n\u003cli\u003eExplore the different types of regression techniques\u003c\/li\u003e\n\u003cli\u003eGrasp the basics of classification through Naive Bayes and decision trees\u003c\/li\u003e\n\u003cli\u003eUse clustering to group data based on similarity measures\u003c\/li\u003e\n\u003cli\u003ePerform data fitting, pattern recognition, and cluster analysis\u003c\/li\u003e\n\u003cli\u003eImplement feature selection and extraction for dimensionality reduction\u003c\/li\u003e\n\u003cli\u003eHarness MATLAB tools for deep learning exploration\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eThis 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.\u003c\/p\u003eTable of Contents\u003col\u003e\n\u003cli\u003eExploring MATLAB for Machine Learning\u003c\/li\u003e\n\u003cli\u003eWorking with Data in MATLAB\u003c\/li\u003e\n\u003cli\u003ePrediction Using Classification and Regression\u003c\/li\u003e\n\u003cli\u003eClustering Analysis and Dimensionality Reduction\u003c\/li\u003e\n\u003cli\u003eIntroducing Artificial Neural Networks Modeling\u003c\/li\u003e\n\u003cli\u003eDeep Learning and Convolutional Neural Networks\u003c\/li\u003e\n\u003cli\u003eNatural Language Processing Using MATLAB\u003c\/li\u003e\n\u003cli\u003eMATLAB for Image Processing and Computer Vision\u003c\/li\u003e\n\u003cli\u003eTime Series Analysis and Forecasting with MATLAB\u003c\/li\u003e\n\u003cli\u003eMATLAB Tools for Recommender Systems\u003c\/li\u003e\n\u003cli\u003eAnomaly Detection in MATLAB\u003c\/li\u003e\n\u003c\/ol\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 374\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.77 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 30, 2024\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42701393002592,"sku":"9781835087695","price":71.98,"currency_code":"USD","in_stock":false}],"url":"https:\/\/bijoucc.myshopify.com\/products\/matlab-for-machine-learning-second-edition-unlock-the-power-of-deep-learning-for-swift-and-enhanced-results-paperback","provider":"CARIBBEAN CONNECT","version":"1.0","type":"link"}