Reader small image

You're reading from  Hands-On Markov Models with Python

Product typeBook
Published inSep 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788625449
Edition1st Edition
Languages
Concepts
Right arrow
Authors (2):
Ankur Ankan
Ankur Ankan
author image
Ankur Ankan

Ankur Ankan is a BTech graduate from IIT (BHU), Varanasi. He is currently working in the field of data science. He is an open source enthusiast and his major work includes starting pgmpy with four other members. In his free time, he likes to participate in Kaggle competitions.
Read more about Ankur Ankan

Abinash Panda
Abinash Panda
author image
Abinash Panda

Abinash Panda has been a data scientist for more than 4 years. He has worked at multiple early-stage start-ups and helped them build their data analytics pipelines. He loves to munge, plot, and analyze data. He has been a speaker at Python conferences. These days, he is busy co-founding a start-up. He has contributed to books on probabilistic graphical models by Packt Publishing.
Read more about Abinash Panda

View More author details
Right arrow

Summary

In this chapter, we introduced algorithms for doing parameter estimation of a given HMM model. We started by looking into the basics of MLE and then applied the concepts to HMMs. For HMM training, we looked into two different scenarios: supervised training, when we have the observations for the hidden states, and unsupervised training, when we only have the output observations.

We also talked about the problems with estimation using MLE. In the next chapter, we will introduce algorithms for doing parameter estimation using the Bayesian approach, which tries to solve these issues.

lock icon
The rest of the page is locked
Previous PageNext Chapter
You have been reading a chapter from
Hands-On Markov Models with Python
Published in: Sep 2018Publisher: PacktISBN-13: 9781788625449

Authors (2)

author image
Ankur Ankan

Ankur Ankan is a BTech graduate from IIT (BHU), Varanasi. He is currently working in the field of data science. He is an open source enthusiast and his major work includes starting pgmpy with four other members. In his free time, he likes to participate in Kaggle competitions.
Read more about Ankur Ankan

author image
Abinash Panda

Abinash Panda has been a data scientist for more than 4 years. He has worked at multiple early-stage start-ups and helped them build their data analytics pipelines. He loves to munge, plot, and analyze data. He has been a speaker at Python conferences. These days, he is busy co-founding a start-up. He has contributed to books on probabilistic graphical models by Packt Publishing.
Read more about Abinash Panda