Description
Advanced Data Analysis using Wavelets and Machine Learning is a training course for advanced data analysis with Wavelets and Machine Learning, published by Yudemy Academy. Among the most important topics discussed in this course are machine learning, data-driven engineering, wavelet analysis, Fourier transforms, and dynamical systems. did This training course will help you solve real problems and challenges with the help of data and using advanced algorithms.
What you will learn in the Advanced Data Analysis using Wavelets and Machine Learning course:
- Overview of Fourier Analysis
- Basic principles of wavelets and Fourier analysis
- Mathematical tools for analyzing signals and images in different domains
- Analysis of various data with Fourier series, transforms and wavelets
- Different data processing methods to optimize and increase performance and speed
- Different methods and functions of machine learning
- Training on different datasets for training machine learning algorithms
- Using machine learning to make data-driven decisions and predict different situations
- Linear regression or linear regression
- Curve fitting
- The method of least squares or least squares
- gradient descent
- And …
Course details
Publisher: Yudmi
teacher: Emanuele Pesaresi
English language
Training level: introductory to advanced
Number of courses: 48
Training duration: 10 hours and 5 minutes
Course topics on 6/2023
Advanced Data Analysis using Wavelets and Machine Learning course prerequisites
Familiarity with some linear algebra will make the class easier to follow along with.
Calculus might be useful to understand machine learning techniques and wavelets to a greater degree. My primary aim is not to show you the mathematics, but with some mathematical background you would be able to appreciate the contents more thoroughly.
Course images
Course introduction video
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
8.7 GB
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