Advanced Data Analysis using Wavelets and Machine Learning

Advanced Data Analysis using Wavelets and Machine Learning

What you’ll learn

  • Understand the principles and applications of Fourier analysis and wavelets (with emphasis on the physical insights rather than the mathematics)
  • 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
  • Understand the revolutionary concept of compressed sensing, with realistic examples.
  • Discover the governing equations of a dynamical system from time series data (SINDy algorithm)
  • Implement efficient Machine Learning algorithms with Matlab
  • Understand and apply the Singular Value Decomposition (SVD) (we even prove it!)
  • Learn how to use the SVD to approximate images
  • Understand the Least Squares Method (LSM) from practical examples
  • Understand and apply the Fast Fourier Transform (FFT) – one of the most important algorithms ever discovered
  • Understand and apply the Discrete Cosine Transform (DCT)
  • Learn how to derive the Inverse Wavelet Transform
  • Learn how to derive the Inverse Discrete Cosine Transform
  • Learn how to derive the Inverse Fourier Transform

How to Enroll Advanced Data Analysis using Wavelets and Machine Learning course?

  • To Access "Advanced Data Analysis using Wavelets and Machine Learning" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
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  • How many members can access this course with a coupon?

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