Building Probabilistic Graphical Models with Python
Solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications
| Price | $16.99 - $27.99
|
| Rating |   |
| Author | Kiran R Karkera |
| Publisher | Packt Publishing |
| Published | 2014 |
| Pages | 172 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1783289007 |
| ISBN-13 | 9781783289004 |
With the increasing prominence in machine learning and data science applications, probabilistic graphical models are a new tool that machine learning users can use to discover and analyze structures in complex problems. The variety of tools and algorithms under the PGM framework extend to many domains such as natural language processing, speech processing, image processing, and disease diagnosis. You've probably heard of graphical models before, and you're keen to try out new landscapes in the machine learning area. This book gives you enough background information to get started on graphical models, while keeping the math to a minimum.
- Kiran R Karkera
4 5 22
Similar Books
Mastering Probabilistic Graphical Models Using Python
by Ankur Ankan, Abinash Panda
Probabilistic graphical models is a technique in machine learning that uses the concepts of graph theory to concisely represent and optimally predict values in our data problems. Graphical models gives us techniques to find complex patterns in the data and are widely used in the field of speech recognition, information extraction, image s...
Price: $44.99 | Publisher: Packt Publishing | Release: 2015
Learning Probabilistic Graphical Models in R
by David Bellot
Probabilistic graphical models (PGM, also known as graphical models) are a marriage between probability theory and graph theory. Generally, PGMs use a graph-based representation. Two branches of graphical representations of distributions are commonly used, namely Bayesian networks and Markov networks. R has many packages to implement grap...
Price: $34.99 | Publisher: Packt Publishing | Release: 2016
Hands-On Markov Models with Python
by Ankur Ankan, Abinash Panda
Hidden Markov Model (HMM) is a statistical model based on the Markov chain concept. Hands-On Markov Models with Python helps you get to grips with HMMs and different inference algorithms by working on real-world problems. The hands-on examples explored in the book help you simplify the process flow in machine learning by using Markov mode...
Price: $34.99 | Publisher: Packt Publishing | Release: 2018
Building Versatile Mobile Apps with Python and REST
by Art Yudin
Develop versatile iOS apps using Python with RESTful web services. This book will show you how to blend Django, a high-level Python Web framework, with Django REST, the powerful, feature-filled extension, to build iOS mobile apps.Using easy-to-follow examples, you'll begin by building a simple app using the RESTful Web API and iOS. Y...
Price: $28.62 | Publisher: Apress | Release: 2020
Building Machine Learning Systems with Python, 3rd Edition
by Luis Pedro Coelho, Willi Richert, Matthieu Brucher
Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
by Nihkil Ketkar
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This new edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Faceboo...
Price: $32.99 | Publisher: Apress | Release: 2020
Building Machine Learning Systems with Python, 2nd Edition
by Luis Pedro Coelho, Willi Richert
Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python is a wonderful language to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation. With its excellent collection of open source machine learn...
Price: $49.99 | Publisher: Packt Publishing | Release: 2015
Machine Learning with PyTorch and Scikit-Learn
by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili
Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and examples, the book covers all the...
Price: $40.00 | Publisher: Packt Publishing | Release: 2022