Machine learning with Swift : artificial intelligence for iOS /: artificial intelligence for iOS. (2018)
- Record Type:
- Book
- Title:
- Machine learning with Swift : artificial intelligence for iOS /: artificial intelligence for iOS. (2018)
- Main Title:
- Machine learning with Swift : artificial intelligence for iOS
- Further Information:
- Note: Alexander Sosnovshchenko.
- Authors:
- Sosnovshchenko, Alexander
- Contents:
- Table of Contents Getting started with Machine Learning Decision Tree Learning K-Neares Neighbor Classifier Clustering Rule learning Linear Regression and Gradient Descent Logistic Regression Neural Networks Convolutional Neural Networks and Computer Vision Word Embeddings and Natural Language Processing Machine Learning Libraries Optimizing neural networks for mobile devices Best Practices.
- Publisher Details:
- Birmingham, UK : Packt Publishing
- Publication Date:
- 2018
- Extent:
- 1 online resource (1 volume), illustrations
- Subjects:
- 004.1675
Computers -- Neural Networks
Swift (Computer program language)
Machine learning
Artificial intelligence
Application software -- Development
Computers -- Operating Systems -- Macintosh
Macintosh OS
Neural networks & fuzzy systems
Computers -- Intelligence (AI) & Semantics
Artificial intelligence
Application software -- Development
Artificial intelligence
Machine learning
Swift (Computer program language)
Electronic books - Languages:
- English
- ISBNs:
- 9781787123526
1787123529 - Related ISBNs:
- 9781787121515
- Notes:
- Note: Description based on online resource; title from title page (Safari, viewed March 20, 2018).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.272936
- Ingest File:
- 01_177.xml