Machine Learning with Swift: Artificial Intelligence for iOS
Author: Alexander Sosnovshchenko
ISBN-10 书号: 1787121518
ISBN-13 书号: 9781787121515
Release Finelybook 出版日期: 2018-02-28
pages 页数: 378
Book Description to Finelybook sorting
Machine learning as a field promises to bring increased intelligence to the software by helping us learn and analyse information efficiently and discover certain patterns that humans cannot. This book will be your guide as you embark on an exciting journey in machine learning using the popular Swift language.
We’ll start with machine learning basics in the first part of the book to develop a lasting intuition about fundamental machine learning concepts. We explore various supervised and unsupervised statistical learning techniques and how to implement them in Swift, while the third section walks you through deep learning techniques with the help of typical real-world cases. In the last section, we will dive into some hard core topics such as model compression, GPU acceleration and provide some recommendations to avoid common mistakes during machine learning application development.
By the end of the book, you’ll be able to develop intelligent applications written in Swift that can learn for themselves.
1: GETTING STARTED WITH MACHINE LEARNING
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
What You Will Learn
Learn rapid model prototyping with Python and Swift
Deploy pre-trained models to iOS using Core ML
Find hidden patterns in the data using unsupervised learning
Get a deeper understanding of the clustering techniques
Learn modern compact architectures of neural networks for iOS devices
Train neural networks for image processing and natural language processing
Alexander Sosnovshchenko has been working as an iOS software engineer since 2012. Later he made his foray into data science, from the first experiments with mobile machine learning in 2014, to complex deep learning solutions for detecting anomalies in video surveillance data. He lives in Lviv, Ukraine, and has a wife and a daughter.