Discover 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, 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.
This 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.
By the end of the book, you’ll be able to put it all together by applying major machine learning algorithms in real-world scenarios.

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Spis treści

MATLAB for Machine Learning. Unlock the power of deep learning for swift and enhanced results - Second Edition eBook -- spis treści

• 1. Exploring MATLAB for Machine Learning
• 2. Working with Data in MATLAB
• 3. Prediction Using Classification and Regression
• 4. Clustering Analysis and Dimensionality Reduction
• 5. Introducing Artificial Neural Networks Modeling
• 6. Deep Learning and Convolutional Neural Networks
• 7. Natural Language Processing Using MATLAB
• 8. MATLAB for Image Processing and Computer Vision
• 9. Time Series Analysis and Forecasting with MATLAB
• 10. MATLAB Tools for Recommender Systems
• 11. Anomaly Detection in MATLAB