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Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem - Softcover
Synopsis
Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn
Key Features
- Build a variety of Hidden Markov Models (HMM)
- Create and apply models to any sequence of data to analyze, predict, and extract valuable insights
- Use natural language processing (NLP) techniques and 2D-HMM model for image segmentation
Book Description
Hidden Markov Model (HMM) is a statistical model based...
About the Author
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.
Abinash Panda has been a data scientist for more than 4 years. He has worked at multiple early-stage start-ups and...
"About this title" may belong to another edition of this title.
- PublisherPackt Publishing
- Publication date2018
- ISBN 10 1788625447
- ISBN 13 9781788625449
- BindingPaperback
- LanguageEnglish
- Number of pages178
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