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Machine Learning with Swift

You're reading from   Machine Learning with Swift Artificial Intelligence for iOS

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787121515
Length 378 pages
Edition 1st Edition
Languages
Tools
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Authors (3):
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Jojo Moolayil Jojo Moolayil
Author Profile Icon Jojo Moolayil
Jojo Moolayil
Oleksandr Baiev Oleksandr Baiev
Author Profile Icon Oleksandr Baiev
Oleksandr Baiev
Alexander Sosnovshchenko Alexander Sosnovshchenko
Author Profile Icon Alexander Sosnovshchenko
Alexander Sosnovshchenko
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Machine Learning FREE CHAPTER 2. Classification – Decision Tree Learning 3. K-Nearest Neighbors Classifier 4. K-Means Clustering 5. Association Rule Learning 6. Linear Regression and Gradient Descent 7. Linear Classifier and Logistic Regression 8. Neural Networks 9. Convolutional Neural Networks 10. Natural Language Processing 11. Machine Learning Libraries 12. Optimizing Neural Networks for Mobile Devices 13. Best Practices

Natural Language Processing

Language is an integral part of our daily life and a natural way of conveying ideas from person to person. But as easy it is for us to understand our native language, it is just as difficult for computers to process it. The internet changed the science of language forever because it allowed collecting huge volumes of text and audio records. The field of knowledge that arose at the intersection of linguistics, computer science, and machine learning was called natural language processing (NLP).

In this chapter, we will get acquainted with the basic concepts and applications of NLP, relevant in the context of mobile development. We will talk about the powerful tools provided by iOS and the macOS SDK for language processing. We also will learn about the theory of distributional semantics and vector representations of words as its embodiment. They will allow...

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