What you'll 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
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 syngo image 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!
