Description
Unsupervised Machine Learning Hidden Markov Models in Python is a training course from the site Udemy which describes hidden Markov models for stock price analysis, language modeling, website statistics, and biology. Hidden Markov model is generally related to sequences. Most of the data that are suitable for building the model are located in sequences. For example, stock value is a sequence of prices and language is a sequence of words. In short, sequences are everywhere, and being able to analyze them is an essential skill in data science.
In this course, you will learn how to measure the probability distribution of a sequence of random variables and learn a lot about deep learning. During this course we work with Theano and Tensorflow libraries and fully explain the hidden Markov model. This course examines many Markov Model and Hidden Markov Model projects and shows how to analyze and predict disease and health models.
Items taught in this course:
- Familiarity with different hidden Markov model programs
- Understanding how the Markov model works
- Write the code of a Markov model
- Applying a Markov model to a sequence of data
- Applying the Markov model to a language
- Writing a hidden Markov model using Theano
Specifications of Unsupervised Machine Learning Hidden Markov Models in Python course:
- Publisher: Yudmi
- Instructor: Lazy Programmer Inc
- English language
- Duration: 9 hours and 46 minutes
- Number of courses: 65
- Education level: Intermediate
Headlines of the course on 2/2024
Course prerequisites
- Familiarity with probability and statistics
- Understand Gaussian mixture models
- Be comfortable with Python and Numpy
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
Changes:
Version 2020/12 compared to version 2018/10 has increased by 1 lesson and duration of 12 minutes.
The version of 2023/11 compared to 2020/12 has increased the number of 2 lessons and the duration of 33 minutes.
download link
File(s) password: www.downloadly.ir
Size
1.99 GB
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