Beginning Machine Learning in IOS: Coreml Framework Contributor(s): Thakkar, Mohit (Author) |
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ISBN: 1484242963 ISBN-13: 9781484242964 Publisher: Apress
WE WILL NOT BE UNDERSOLD! Click here for our low price guarantee Binding Type: Paperback - See All Available Formats & Editions Published: February 2019 |
Additional Information |
BISAC Categories: - Computers | Programming - Macintosh - Computers | Hardware - Personal Computers - Pcs - Computers | Operating Systems - Apple (mac Os & Ios) |
Dewey: 004.165 |
Physical Information: 0.37" H x 6.14" W x 9.21" L (0.55 lbs) 157 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning and then moves on to discussing more advanced topics, such as CoreML, the framework used to enable machine learning tasks in Apple products. Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Facebook to suggest which people that might be in a photo. You'll review how these types of machine learning tasks are implemented and performed so that you can use them in your own apps. Beginning Machine Learning in iOS is your guide to putting machine learning to work in your iOS applications. What You'll Learn
Novice developers and programmers who wish to implement machine learning in their iOS applications and those who want to learn the fundamentals about machine learning. |
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