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Machine Learning with Swift

You're reading from  Machine Learning with Swift

Product type Book
Published in Feb 2018
Publisher Packt
ISBN-13 9781787121515
Pages 378 pages
Edition 1st Edition
Languages
Authors (3):
Jojo Moolayil Jojo Moolayil
Profile icon Jojo Moolayil
Alexander Sosnovshchenko Alexander Sosnovshchenko
Profile icon Alexander Sosnovshchenko
Oleksandr Baiev Oleksandr Baiev
View More author details

Table of Contents (18) Chapters

Title Page
Packt Upsell
Contributors
Preface
Getting Started with Machine Learning Classification – Decision Tree Learning K-Nearest Neighbors Classifier K-Means Clustering Association Rule Learning Linear Regression and Gradient Descent Linear Classifier and Logistic Regression Neural Networks Convolutional Neural Networks Natural Language Processing Machine Learning Libraries Optimizing Neural Networks for Mobile Devices Best Practices Index

NLP libraries


In this section we will discuss the various NLP libraries:

Word2Vec

This is the original C implementation of the Word2Vec algorithm. It works on iOS, but consumes a significant amount of memory. It was released under the Apache 2.0 license.

Note

Google repository: https://code.google.com/p/word2vec/

Twitter text

Parsing tweets is a common task in NLP. Tweets usually contain some unusual language (like usernames), they mention headers, hashtags, cashtags, and so on. Twitter provides an Objective-C API for tweet processing. This has nothing to do with machine learning per se, but it is still a useful tool for data preprocessing.

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