MACHINE LEARNING WITH MATLAB. SUPERVISED LEARNING AND CLASSIFICATION

Price: $29.99
(as of Dec 24,2024 07:48:47 UTC – Details)

Publisher ‏ : ‎ Scientific Books (August 7, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 361 pages
ISBN-10 ‏ : ‎ 1304145484
ISBN-13 ‏ : ‎ 978-1304145482
Item Weight ‏ : ‎ 1.73 pounds
Dimensions ‏ : ‎ 7 x 0.82 x 10 inches

Machine learning is a powerful tool that can be used to make predictions and decisions based on data. One popular method of machine learning is supervised learning, where the algorithm is trained on a labeled dataset in order to make predictions on unseen data.

In this post, we will explore how to use MATLAB for supervised learning and classification tasks. MATLAB is a popular programming language and environment for numerical computing, and it has a wide range of tools and functions for machine learning.

To get started with supervised learning in MATLAB, you first need to have a labeled dataset. This dataset should consist of input features and corresponding labels that you want to predict. Once you have your dataset, you can use MATLAB’s built-in functions to train a supervised learning model.

One common type of supervised learning is classification, where the goal is to assign input data points to predefined categories or classes. MATLAB has several classification algorithms that you can use, such as support vector machines, decision trees, and k-nearest neighbors.

To train a classification model in MATLAB, you can use the fitcsvm, fitctree, or fitcknn functions, depending on the algorithm you want to use. These functions will take your labeled dataset as input and return a trained model that can be used to make predictions on new data.

Once you have trained your classification model, you can evaluate its performance using metrics such as accuracy, precision, recall, and F1 score. MATLAB has functions for calculating these metrics, such as confusionmat, confusionchart, and classify.

Overall, MATLAB is a powerful tool for supervised learning and classification tasks. With its wide range of functions and algorithms, you can easily train and evaluate machine learning models for a variety of applications. So if you’re interested in exploring the world of machine learning, be sure to check out MATLAB for all your supervised learning needs.

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