Рет қаралды 58
This interesting model on epidemics illustrates some simple ideas on how an epidemic can be described mathematically.
This is an excerpt taken from a course on Machine Learning and Wavelets, a course which consists of four main parts:
• Part 1: Overview on Fourier Analysis and Wavelets. You may learn the basics of these two powerful mathematical tools for analyzing signals and images in different domains.
• Part 2: Data Analysis with Fourier Series, Transforms and Wavelets. You may learn how to apply these methods to process and explore data efficiently and effectively, both in time and frequency domains.
• Part 3: Machine Learning Methods. You may learn how to use techniques that enable computers to learn from data and make intelligent predictions or decisions, such as linear regression, curve fitting, least squares, gradient descent, Singular Value Decomposition (and more).
• Part 4: Dynamical Systems. You may learn how to model and understand complex and nonlinear phenomena that change over time, using mathematical equations. We will also apply machine learning techniques to dynamical systems, such as the SINDy algorithm.
By the end of this course, you would be able to:
• Understand the principles and applications of Fourier analysis and wavelets
• Use Fourier series and transforms to analyze data in various domains
• Apply machine learning methods to different problems
• Extract features from data using wavelets
• Understand the importance of sparsity of natural data, as well as the revolutionary concept of compressed sensing, with realistic examples.
• Discover the governing equations of a dynamical system from time series data (SINDy algorithm).
If you are keen on supporting the material I create you may follow me on Patreon (you will find courses as well, and you might help me create future materials, only if you feel like it 😊).
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