Home Big-data-and-business-intelligence Bayesian Networks in Swift [Integrated Course]

Bayesian Networks in Swift [Integrated Course]

By Shyamal Chandra
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50+ new titles added every month on new and emerging tech
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What do you get with a Packt Subscription?
This book & 6500+ ebooks & video courses on 1000+ technologies
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50+ new titles added every month on new and emerging tech
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Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
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Mobile App with offline access
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Download this book in EPUB and PDF formats
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About this video

Swift is a new, general-purpose, multi-paradigm, and compiled programming language developed by Apple Inc. for iOS, macOS, watchOS, tvOS, and Linux.

This course presents how to implement optimized data structures for structure learning and inference for Bayesian Networks. The examples used in this course are very practical and grounded with examples from real-world data.

This course begins with Swift-implemented exercises using Bayesian Networks. You will learn various algorithms such as genetic, hill climbing, and EM.
You will gradually progress to learn Swift-implemented Bayesian Network applications. In this topic, you will understand concepts such as MSR’s TrueSkill algorithm, turbo codes, and decision-theoretic troubleshooting. Finally, you will learn the concept of speech recognition with HMMs.

By the end of this course, you will see how to leverage the tools Swift provides to help you build AI systems really fast, scalable, and easy to reason about.

Key Features

  • Explore structure learning implementation
  • Learn Swift-implemented Bayesian Network structure learning algorithms
  • Understand Swift-implemented Bayesian Network applications
  • Take 25 assessments specific to the course
  • Create a mini-project by the end of this course

Who this course is for

This course is for developers who are familiar with the Swift language and Bayesian Network concepts. If you want to build scalable AI systems using Bayesian Networks in Swift, then this course is for you.

Publication date:
August 2017
Publisher
Packt
Duration
2 hours
ISBN
9781788398046

About the Author
Bayesian Networks in Swift [Integrated Course]
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