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Unsupervised Machine Learning Hidden Markov Models in Python

Unsupervised Machine Learning Hidden Markov Models in Python

What you’ll learn

  • Understand and enumerate the various applications of Markov Models and Hidden Markov Models
  • Understand how Markov Models work
  • Write a Markov Model in code
  • Apply Markov Models to any sequence of data
  • Understand the mathematics behind Markov chains
  • Apply Markov models to language
  • Apply Markov models to website analytics
  • Understand how Google’s PageRank works
  • Understand Hidden Markov Models
  • Write a Hidden Markov Model in Code
  • Write a Hidden Markov Model using Theano
  • Understand how gradient descent, which is normally used in deep learning, can be used for HMMs

Who this course is for:

  • Students and professionals who do data analysis, especially on sequence data
  • Professionals who want to optimize their website experience
  • Students who want to strengthen their machine learning knowledge and practical skillset
  • Students and professionals interested in DNA analysis and gene expression
  • Students and professionals interested in modeling language and generating text from a model

Can I download Unsupervised Machine Learning Hidden Markov Models in Python 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 Unsupervised Machine Learning Hidden Markov Models in Python 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?
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