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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

Exporting data from MATLAB

Exporting data represents a crucial activity for a data scientist: it allows you to perform advanced data analysis using specialized tools and libraries commonly used in data science. By exporting data from MATLAB to formats compatible with these tools, you can leverage their extensive functionality for exploratory data analysis (EDA), statistical modeling, ML, and visualization. Exporting data from MATLAB serves several purposes and can be beneficial in various scenarios:

  • Data sharing: Exporting data allows you to share your results, findings, or processed data with others who may not have direct access to MATLAB
  • External analysis: Exporting data enables you to analyze your MATLAB data using external software tools or programming languages
  • Documentation and reporting: Exported data can be used for documentation and reporting purposes
  • Data backup: Exporting data serves as a form of data backup
  • Integration with other systems: Exporting...
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