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MATLAB for Machine Learning

You're reading from   MATLAB for Machine Learning Practical examples of regression, clustering and neural networks

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781788398435
Length 382 pages
Edition 1st Edition
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Authors (2):
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Pavan Kumar Kolluru Pavan Kumar Kolluru
Author Profile Icon Pavan Kumar Kolluru
Pavan Kumar Kolluru
Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with MATLAB Machine Learning FREE CHAPTER 2. Importing and Organizing Data in MATLAB 3. From Data to Knowledge Discovery 4. Finding Relationships between Variables - Regression Techniques 5. Pattern Recognition through Classification Algorithms 6. Identifying Groups of Data Using Clustering Methods 7. Simulation of Human Thinking - Artificial Neural Networks 8. Improving the Performance of the Machine Learning Model - Dimensionality Reduction 9. Machine Learning in Practice

Identifying student groups using fuzzy clustering

An effective didactic activity presupposes in-depth and methodical programming. Didactic programming aims to develop a series of coordinated actions that contribute to achieving, through efficiency and cost-effectiveness, a goal. It allows the teacher to overcome improvisation, operational causalities, and to organize rationally and consistently the educational interventions, to organize the content and the various school activities, including verifications. Programming, therefore, adjusts programs to students, identifies interdisciplinary links, and chooses methodologies that effectively facilitate the process of learning and growth, as well as cultural, emotional, relational, and civil. In the following figure, different degrees of motivation in a classroom are depicted:

Figure 9.12: Different degrees of motivation in a classroom...
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