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Getting Started with MATLAB Machine Learning

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Getting Started with MATLAB Machine Learning
Getting Started with MATLAB Machine Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 48M | 2.03 GB
Genre: eLearning | Language: English

MATLAB is the language of choice for many researchers and mathematics experts when it comes to machine learning. This video will help beginners build a foundation in machine learning using MATLAB. You'll start by getting your system ready with the MATLAB environment for machine learning and you'll see how to easily interact with the MATLAB workspace. You'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 learn about the different types of regression technique 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 to improve performance. By the end of the video, you'll have learned to put it all together via real-world use cases covering the major machine learning algorithms and will be comfortable in performing machine learning with MATLAB.

Getting Started with MATLAB Machine Learning

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  1. MATLAB机器学习入门 MATLAB是许多研究者和数学专家在处理机器学习时的选择。本教程将会帮助初学者打下使用MATLAB的基础。你将从安装用于机器学习的系统环境开始,并开始轻松地掌握MATLAB的工作环境。然后会转向数据清洗、挖掘和分析各种机器学习中的数据类型,并且你还会看到如何在plot中展示数据值。接下来,你将学习不同的递归技术类型,以及如何将他们使用MATLAB函数应用于你的数据。你将理解神经网络的基本概念并执行数据适配、模式识别和集群分析。最后,你将学习用于维度减少的功能选择和提取技术来改善性能。最后,你将学习到通过涵盖主要集群休息算法的真实案例,将所学的知识综合运用在MATLAB中执行执行机器学习。
    wilde(特殊组-翻译)2周前 (12-04)