iOS Machine Learning with Core ML 2 and Swift 5

iOS Machine Learning with Core ML 2 and Swift 5, available at $74.99, has an average rating of 4.42, with 45 lectures, 1 quizzes, based on 291 reviews, and has 2134 subscribers.

You will learn about Learn from a software engineer with 20+ years of professional experience Get a practical introduction to machine learning in the context of iOS and macOS development Get the companion e-book for FREE! (sells for $28.80 on Amazon) Learn how to integrate natural language text analysis into your apps Build apps that can recognize and classify objects in images and video streams Use Core ML to perform sentiment analysis on Amazon product reviews Gain a working knowledge of Core ML 2, Vision, Natural Language Processing and Create ML This course is ideal for individuals who are Take this course if you want to get started with Core ML, Vision, and/or Natural Language Processing or This course is for you if you want to bring your game to the next level by integrating machine learning into your apps It is particularly useful for Take this course if you want to get started with Core ML, Vision, and/or Natural Language Processing or This course is for you if you want to bring your game to the next level by integrating machine learning into your apps.

Enroll now: iOS Machine Learning with Core ML 2 and Swift 5

Summary

Title: iOS Machine Learning with Core ML 2 and Swift 5

Price: $74.99

Average Rating: 4.42

Number of Lectures: 45

Number of Quizzes: 1

Number of Published Lectures: 45

Number of Published Quizzes: 1

Number of Curriculum Items: 46

Number of Published Curriculum Objects: 46

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Learn from a software engineer with 20+ years of professional experience
Get a practical introduction to machine learning in the context of iOS and macOS development
Get the companion e-book for FREE! (sells for $28.80 on Amazon)
Learn how to integrate natural language text analysis into your apps
Build apps that can recognize and classify objects in images and video streams
Use Core ML to perform sentiment analysis on Amazon product reviews
Gain a working knowledge of Core ML 2, Vision, Natural Language Processing and Create ML

Who Should Attend

Take this course if you want to get started with Core ML, Vision, and/or Natural Language Processing
This course is for you if you want to bring your game to the next level by integrating machine learning into your apps

Target Audiences

Take this course if you want to get started with Core ML, Vision, and/or Natural Language Processing
This course is for you if you want to bring your game to the next level by integrating machine learning into your apps

A practical and concise Core ML 2 course you can complete in less than three hours. Companion eBook included!

Wouldn’t it be great to integrate features like synthetic vision, natural language processing, or sentiment analysis into your apps? In this course, I’ll teach you how to unleash the power of machine learning using Apple Core ML 2. I’ll show you how to train and deploy models for natural language and visual recognition using Create ML.

I’m going to familiarize you with common machine learning tasks. We’ll focus on practical applications, using hands-on Swift coding.
We’re going to demystify what machine learning is by investigating how it works. And no worries, I introduce each concept using simple terms, avoiding confusing jargon.

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!

What qualifies me to teach you?
I have more than 25 years of software development expertise. I’ve worked for companies like Apple, Siemens, and SAP.
As a software architect, I have designed and built several enterprise systems and frameworks, including core components of Siemens Healthcare‘s syngoimage processing system. I’m one of the senior software architects behind the SAP Cloud Platform SDK for iOS,a framework built by Apple and SAP. I currently hold twelve patents related to inventions in the field of mobile computing.

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 5” is the perfect course for you if you’re interested in machine learning.

STUDENT REVIEWS

“Thank you Karoly, you have delivered another excellent course, with detailed explanations and real world examples of machine learning that any app developer will be able to put into practice with their app development.Excellent course.” – Jim McMillan

“This course is the best introduction to Machine Learning with Swift. It is going to familiarize you with common machine learning tasks and is very helpful for beginners.” – Zbyszek Pietras

“I’ve been looking for a course that teaches CoreML2 with natural language processing and CreateML. I found this course very useful and gets directly to the important topics. I also appreciated the Vision CoreML section as well.” – Dan Gray

MORE THAN AN ONLINE COURSE. WITH THIS CLASS, YOU ALSO RECEIVE:

Personalized support
As a student of this course, you’ll get access to the course’s private forum, where I answer questions and provide support if necessary.
The companion eBook
Downloadable resources
You get downloadable demo projects you can use to follow along.
Continuous updates
I keep enhancing this course to provide fresh and up-to-date content.

OUR 30-DAY MONEY-BACK GUARANTEE

If you aren’t satisfied with your purchase, we’ll refund you your money. We want to make sure you’re completely satisfied with the course. That’s why we’re happy to offer you this money-back guarantee.

Go ahead and click the enroll button. See you in the first lesson!

Course Curriculum

Chapter 1: Introduction

Lecture 1: What is Machine Learning?

Lecture 2: What You Should Know

Lecture 3: Join the Official Student Group

Chapter 2: Machine Learning: the Big Picture

Lecture 1: Supervised and Unsupervised Machine Learning

Lecture 2: The Machine Learning Model

Lecture 3: iOS and Machine Learning

Lecture 4: Exercise Files

Chapter 3: iOS Machine Learning Architecture

Lecture 1: A High-Level View

Lecture 2: The CoreML Framework

Lecture 3: The NaturalLanguage Framework

Lecture 4: The Vision Framework

Lecture 5: The GamePlayKit Framework

Chapter 4: Natural Language Text Analysis

Lecture 1: Natural Language Text Analysis – What Are We Going to Build?

Lecture 2: Recognizing the Dominant Language of a Text

Lecture 3: Tokenizing a String

Lecture 4: Identifying Parts of Speech

Lecture 5: Identifying People, Places and Organizations

Chapter 5: Image Analysis with the Vision Framework

Lecture 1: Image Analysis with the Vision Framework – What Are We Going to Build?

Lecture 2: The Starter App

Lecture 3: Analyzing Still Images using Vision

Lecture 4: Implementing the Image Request Handler

Lecture 5: Implementing the Image Analysis Request

Lecture 6: Converting Coordinates Between Quartz 2D and UIKit

Lecture 7: Visualizing the Detected Rectangles

Lecture 8: Recognizing Text, Faces and Barcodes in Still Images

Chapter 6: Training a Flower Classifier on Your Computer using Create ML

Lecture 1: Training a Flower Classifier on Your Computer – What Are We Going to Build?

Lecture 2: Recognizing Flowers – Preparing the Training Data

Lecture 3: Training an Image Classifier in a Playground

Lecture 4: Recognizing Flowers – the Starter App

Lecture 5: Integrating the Flower Classifier Model

Lecture 6: Displaying Predictions

Lecture 7: Picking an Image

Lecture 8: Performing the Image Analysis Request

Lecture 9: The Flower Recognizer App in Action

Chapter 7: Determining the Tonality of a Review

Lecture 1: Review Sentiment Analysis – What Are We Going to Build?

Lecture 2: Preparing the Training Data for the Review Sentiment Classifier

Lecture 3: Training a Text Classifier in a Playground

Lecture 4: Creating the MLTextClassifier

Lecture 5: Saving the Core ML Model

Lecture 6: Laying Out the User Interface of the Review Classifier App

Lecture 7: Integrating the Review Classifier Model

Lecture 8: Testing the Review Classifier App

Chapter 8: Next Steps + Bonuses

Lecture 1: Goodbye!

Lecture 2: Companion eBook

Lecture 3: Bonus Lecture: Learn More from Karoly + Useful Links

Instructors

Karoly Nyisztor • Professional Software Architect
Senior Software Engineer, Author, Inventor

Rating Distribution

1 stars: 2 votes
2 stars: 4 votes
3 stars: 42 votes
4 stars: 96 votes
5 stars: 147 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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