Building Probabilistic Graphical Models with Python




Building Probabilistic Graphical Models with Python 1st Edition

Book Name : Building Probabilistic Graphical Models with Python


Edition : 1st Edition | | ISBN : 1783289007



Category : Programming & IT


Format / Pages : PDF - 172 Pages


Book Description

Building Probabilistic Graphical Models with Python pdf

Solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications

About This Book

  • Stretch the limits of machine learning by learning how graphical models provide an insight on particular problems, especially in high dimension areas such as image processing and NLP
  • Solve real-world problems using Python libraries to run inferences using graphical models
  • A practical, step-by-step guide that introduces readers to representation, inference, and learning using Python libraries best suited to each task

Who This Book Is For

If you are a data scientist who knows about machine learning and want to enhance your knowledge of graphical models, such as Bayes network, in order to use them to solve real-world problems using Python libraries, this book is for you.This book is intended for those who have some Python and machine learning experience, or are exploring the machine learning field.

What You Will Learn

  • Create Bayesian networks and make inferences
  • Learn the structure of causal Bayesian networks from data
  • Gain an insight on algorithms that run inference
  • Explore parameter estimation in Bayes nets with PyMC sampling
  • Understand the complexity of running inference algorithms in Bayes networks
  • Discover why graphical models can trump powerful classifiers in certain problems

In Detail

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.


Preview Building Probabilistic Graphical Models with Python Pdf

Preview eBook

Download Building Probabilistic Graphical Models with Python 1st Edition Pdf




This site comply with DMCA digital copyright. We do not store files not owned by us, or without the permission of the owner. We also do not have links that lead to sites DMCA copyright infringement.


If You feel that this book is belong to you and you want to unpublish it, Please Contact us .


Tags


Books For Same Author:


Search

Most Read

Anatomy: An Essential Textbook Hair and Scalp Disorders Neural Tube Defects: 14 (Pediatric Habilitation) Introduction to Health Services Management The Auxiliary Nurse An Introduction to the Visual System Anticancer Agents from Natural Products Imaging Of Bones And Joints: A Concise Multimodality Approach

Last Added

Hybrid Intelligence for Image Analysis and Understanding Metal Programming Guide Automotive Cybersecurity Robotics for Young Children Data Protection and Privacy Microsoft Excel for Finance Applications Embedded System Design Beginning Programming with Python For Dummies C A Software Engineering Approach Learn Android Studio 3 Pro iPhone Development with Swift 4 Pro JPA 2 in Java EE 8