Matlab ebook

The MATLAB machine learning example, a heart sounds classifier, takes you from loading data to deploying a trained model. Include country code before the telephone number. To submit this form, you must accept and agree to our Privacy Policy. We will not sell or rent your personal contact information. See our privacy policy for details. You are already signed in to your MathWorks Account. Please press the "Submit" button to complete the process.

Select a Web Site. Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select:. Read the ebook to go step by step from the basics to advanced techniques and algorithms: Section 1: Introducing Machine Learning Learn the basics of machine learning, including supervised and unsupervised learning, choosing the right algorithm, and practical examples.

Section 2: Getting Started with Machine Learning Step through the machine learning workflow using a health monitoring app as an example. The section covers accessing and loading data, preprocessing data, deriving features, and training and refining models. Section 3: Applying Unsupervised Learning Explore hard and soft clustering algorithms, and learn about common dimensionality-reduction techniques for improving model performance.

Section 4: Applying Supervised Learning Explore classification and regression algorithms, and learn about techniques for model improvement, including feature selection, feature transformation, and hyperparameter tuning.

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