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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
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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

Machine learning and AI APIs

When adding artificial intelligence to your application, it's not always necessary to write something from scratch, or even use a library. Many cloud providers offer data processing and analysis as a service. Almost all internet giants provide machine learning in the cloud in some form. In addition, plenty of smaller players are present in the market, and they often provide services of comparable quality at a similar cost. The greatest drawback of such small companies is that they tend to be rapidly acquired by major players. After that, their services are being merged with the services of the big companies (at best), or just being closed (at worst).

The range of such services is constantly growing and changing, so I do not see much point in a detailed consideration of these services in this book. I provide a list of services here that have not...

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