All the source code and projects now supports iOS 14 and Xcode 12.
About the Book
Machine learning, now more than ever, plays a pivotal role in almost everything we do in our digital lives. Whether it’s interacting with a virtual assistant like Siri or typing out a message to a friend, machine learning is the technology facilitating those actions. It’s clear that machine learning is here to stay, and as such, it’s a vital skill to have in the upcoming decades. Since more users will be reliant on such technology, it’s important to dive in and hone your machine learning skills to make your apps more engaging, fun, and useful for your users!
Core ML is Apple’s end-to-end platform which allows for fast, powerful, and on-device machine learning in your iOS apps. Core ML is a Swift-based framework which allows developers to deploy lightweight models and ship them with their apps. As Core ML continually gets better, more developers will begin using it because of it’s close-knit compatibility with Apple’s hardware.
In this book, you'll not only learn Core ML in-depth, but the author will also be teaching you about Turi Create, Create ML, Keras, Firebase, and Jupyter Notebooks, just to name a few. These are a few examples of professional tools which are staples for many machine learning experts. Throughout this book, you’ll also become proficient with Python, the language that’s most frequently used for machine learning.
By the end of the book, you would have created a handful of ready-to-use apps such as barcode scanners, image classifiers, and language translators. And, you would have mastered the ins-and-outs of Core ML!
About the Author
He is also active in the open-source community and has been personally recognized by GitHub for his contributions. Vardhan has also developed several ingenious products to better the lives of people around the world. Whether it’s helping the local city solve their chronic street light problem with drones, developing a novel blood pressure monitoring device, or creating a breakthrough in space medicine, Vardhan has a penchant for turning his far-fetched ideas into scientific realities. When he’s not coding, you can find him producing and editing videos, working on getting his private pilot license, or playing the violin.
Table of Contents
Chapter 1 - Machine Learning at a Glance
Chapter 2 - Building an Image Classification App
Chapter 3 - A Primer on Python and Jupiter Notebook
Chapter 4 - Training Your Own Image Classifier
Chapter 5 - Natural Language Processing
Chapter 6 - Sound Classification Models
Chapter 7 - Cloud-Based Machine Learning with Firebase
Chapter 8 - Updatable ML Models for On-Device Training
Chapter 9 - Action Classification and Style Transfer
Chapter 10 - Supercharge ML Workflow with these Tips and Tricks
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