Machine Learning with Core ML 2 and Swift: A beginner-friendly guide to integrating machine learning into your apps (Swift Clinic) by Karoly Nyisztor
Requirements: .ePUB reader, 2.7 MB
Overview: Smart homes, self-driving cars, Siri, Alexa - some typical examples of how machine learning and artificial intelligence have become part of our daily life. Wouldn't it be cool to understand the concepts behind these complex topics?
This book teaches you how to integrate machine learning into your apps. We're going to demystify what machine learning is by investigating how it works and delving into the most important concepts.
This book is going to familiarize you with common machine learning tasks. We'll focus on practical applications, using hands-on Swift code examples.
We'll delve into advanced topics like synthetic vision and natural language processing. You'll apply what you've learned by building iOS applications capable of identifying faces, barcodes, text and rectangular areas in photos in real-time.
You'll learn how to train machine learning models on your computer. You're going to develop several smart apps, including a flower recognizer and an Amazon review sentiment analyzer. And there's a lot more!
Genre: Non-Fiction > Tech & Devices Computers & Technology > Programming

Download Instructions:
(Closed Filehost) http://upload4earn.net/42z05zlxu4ls
(Closed Filehost) http://uploadocean.com/ow8pqvokcbuj
Requirements: .ePUB reader, 2.7 MB
Overview: Smart homes, self-driving cars, Siri, Alexa - some typical examples of how machine learning and artificial intelligence have become part of our daily life. Wouldn't it be cool to understand the concepts behind these complex topics?
This book teaches you how to integrate machine learning into your apps. We're going to demystify what machine learning is by investigating how it works and delving into the most important concepts.
This book is going to familiarize you with common machine learning tasks. We'll focus on practical applications, using hands-on Swift code examples.
We'll delve into advanced topics like synthetic vision and natural language processing. You'll apply what you've learned by building iOS applications capable of identifying faces, barcodes, text and rectangular areas in photos in real-time.
You'll learn how to train machine learning models on your computer. You're going to develop several smart apps, including a flower recognizer and an Amazon review sentiment analyzer. And there's a lot more!
Genre: Non-Fiction > Tech & Devices Computers & Technology > Programming
Download Instructions:
(Closed Filehost) http://upload4earn.net/42z05zlxu4ls
(Closed Filehost) http://uploadocean.com/ow8pqvokcbuj