Mastering Machine Learning with Core ML and Python

Go from zero to hero with Machine Learning and Core ML Learn to develop AI-based apps for iOS and train various types of ML models. Now it is fully updated for Xcode 12, iOS 14, and Swift 5.3. A Comprehensive Guide to Machine Learning, Core ML, Python, and Cloud-based ML 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. This book covers Core ML in-depth. You will learn how to create and deploy your own machine learning model. On top of that, you will learn 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. By going through this book, you’ll also become proficient with Python, the language that’s most frequently used for machine learning. Plus, you would have created a handful of ready-to-use apps such as barcode scanners, image classifiers, and language translators. Most importantly, you will master the ins-and-outs of Core ML. Machine learning, now more than ever, plays a pivotal role in almost everything we do in our digital lives. Whether its interacting with a virtual assistant like Siri or typing out a message to a friend, machine learning is the technology facilitating those actions. Its clear that machine learning is here to stay, and as such, its a vital skill to have in the upcoming decades. Since more users will be reliant on such technology, its 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 Apples 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 its close-knit compatibility with Apples 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, youll also become proficient with Python, the language thats 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! Preface 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