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MATLAB for Machine Learning

You're reading from   MATLAB for Machine Learning Unlock the power of deep learning for swift and enhanced results

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781835087695
Length 374 pages
Edition 2nd Edition
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Author (1):
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Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Getting Started with Matlab
2. Chapter 1: Exploring MATLAB for Machine Learning FREE CHAPTER 3. Chapter 2: Working with Data in MATLAB 4. Part 2: Understanding Machine Learning Algorithms in MATLAB
5. Chapter 3: Prediction Using Classification and Regression 6. Chapter 4: Clustering Analysis and Dimensionality Reduction 7. Chapter 5: Introducing Artificial Neural Network Modeling 8. Chapter 6: Deep Learning and Convolutional Neural Networks 9. Part 3: Machine Learning in Practice
10. Chapter 7: Natural Language Processing Using MATLAB 11. Chapter 8: MATLAB for Image Processing and Computer Vision 12. Chapter 9: Time Series Analysis and Forecasting with MATLAB 13. Chapter 10: MATLAB Tools for Recommender Systems 14. Chapter 11: Anomaly Detection in MATLAB 15. Index 16. Other Books You May Enjoy

Part 3: Machine Learning in Practice

In this part, we will take a journey into the specialized domains of MATLAB application, where we will reveal the immense potential of the software in various fields.

Explore the enchanting world of natural language processing using MATLAB, where language intricacies are deciphered, enabling machines to comprehend and respond to human communication. Transitioning into the visual realm, Chapter 8 opens doors to the manipulation and understanding of visual data, bringing pixels to life through sophisticated algorithms. Delve into the intricate patterns of Chapter 9, where historical data paves the way for informed predictions and strategic decision-making. Then, witness the power of Chapter 10, where personalized suggestions and recommendations emerge from intricate algorithms, enhancing user experiences. Concluding our exploration, immerse yourself in the realm of Chapter 11, where subtle deviations in data patterns are unveiled, providing a...

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