Machine Learning with Core ML 2 and Swift

Machine Learning with Core ML 2 and Swift

A Beginner-Friendly Guide to Integrating Machine Learning into Your iOS, macOS or watchOS Apps

Smart homes, self-driving cars, Siri, Alexa – some prevalent 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 course teaches you how to integrate machine learning into your iOS, macOS or watchOS apps. We’re going to demystify what machine learning is by investigating how it works and delving into the most important concepts.

This course 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 modelson your computer. You’re going to develop several smart apps, including a flower recognizerand an Amazon review sentiment analyzer
And there’s a lot more!

And no worries — we introduce each concept using simple terms, avoiding confusing jargon.


Topics include:

– Understanding the machine learning frameworks provided by Apple

– Natural language text processing using the NaturalLanguage framework

– Setting up a Core ML project in Xcode

– Image analysis using Vision

– Training an image classifier on your computer using CreateML

– Determining the tonality of an Amazon product review

Machine Learning with CoreML 2 and Swift” is the perfect course for you if you’re interested in machine learning, or if you’re looking to switch into an exciting new career track.

Course Content

Sections Status
1

Introduction

2

iOS Machine Learning Architecture

3

Natural Language Text Analysis

4

Image Analysis with the Vision Framework

5

Training a Flower Classifier on Your Computer using Create ML

6

Determining the Tonality of a Review

7

Goodbye

About the Author:

Károly Nyisztor is a veteran mobile developer and instructor. He has built several successful iOS apps and games—most of which were featured by Apple—and is the founder at LEAKKA, a software development, and tech consulting company. He's worked with companies such as Apple, Siemens, SAP, and Zen Studios. Currently, he spends most of his days as a professional software engineer and IT architect. In addition, he teaches object-oriented software design, iOS, Swift, Objective-C, and UML. As an instructor, his aim is to share his 20+ years of software development expertise and change the lives of students throughout the world. He's passionate about helping people reveal hidden talents, and guide them into the world of startups and programming. You can find his courses and books on all major platforms including Amazon, Lynda, LinkedIn Learning, Pluralsight, Udemy, and iTunes.

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