Mastering Machine Learning with Core ML and Python

✍ Scribed by Vardhan K. Agrawal

• Publisher: GitBook
• Year: 2020
• Tongue: English
• Leaves: 330
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

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