Advanced Data Analysis using Wavelets and Machine Learning

Advanced Data Analysis using Wavelets and Machine Learning Course includes 10 hrs video content and enrolled by 4,664 students and received a 4.8 average review out of 5. Now, Course instructor offering 100%OFF on the original price of the course and its limited time offer. Enroll the course before the coupon expired Once you’re enrolled for the course, you can start it whenever and complete it at your own pace. it will never expire on your account.

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
  • Learn how to derive the Uncertainty Principle, and how this affects the time-frequency resolution

By the end of this course, you will 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).

Who this course is for:

  • data scientists who seek to reinforce their understanding of Machine Learning techniques and step up their game
  • Wannabe data analysts or A.I. enthusiasts
  • ML engineers
  • software developers
  • applied mathematicians
  • physicists
  • Researchers
  • Programmers
  • Anyone who wants to learn how to use advanced algorithms to solve real problems with data. It is especially useful for those who are interested in machine learning and data analysis.

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Can I download Advanced Data Analysis using Wavelets and Machine Learning course?

You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.
Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Advanced Data Analysis using Wavelets and Machine Learning course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.
Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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