Ankan / Panda Hands-On Markov Models with Python

Implement probabilistic models for learning complex data sequences using the Python ecosystem
1. Auflage 2018
ISBN: 978-1-78862-933-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 178 Seiten

No detailed description available for "Hands-On Markov Models with Python".

Autoren/Hrsg.

Ankan, Ankur

Panda, Abinash

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Table of Contents - Introduction to Markov Process
- Hidden Markov Models
- State Inference: Predicting the states
- Parameter Inference using Maximum Likelihood
- Parameter Inference using Bayesian Approach
- Time Series: Predicting Stock Prices
- Natural Language Processing: Teaching machines to talk
- 2D-HMM for Image Processing
- Reinforcement Learning: Teaching a robot to cross a maze

Über Autor(innen)

Ankan Ankur:

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.Panda Abinash:

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.