Karoly Nyisztor
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.
Instructor Details
Courses : 4
Specification: iOS Machine Learning with Core ML 2 and Swift 5
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14 reviews for iOS Machine Learning with Core ML 2 and Swift 5
Add a review
| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 2 hours |
| Year | 2021 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$14.99
Vladislav Zhirnov –
Great for beginning.
Manoj Babu –
Course is good for a beginner. Would be more useful if this course is packed with more advanced ML models.
Thiago Gouvea –
Get Attitude, But can do with some better demos application. Face detection and emotions analyzer
P I Varsha Vinod –
As a beginner, the course was worth learning on how to integrate machine learning in apps.
Pablo Arrieta –
Not bad as a start point, but I was expecting a little more in depth or some more advanced topics.
Santiago Prieto –
It’s a good base to start ML from scratch. I do wish there was a few more complicated model examples in a potential Section 7. Or even a bit more explanation of what makes a good CreateML model. Anyway, this course made me a bit more confident to start to go deeper into ML, but I’ll need to research more to figure out how to get target results from my own data sets.
Santiago Prieto –
It’s a good base to start ML from scratch. I do wish there was a few more complicated model examples in a potential Section 7. Or even a bit more explanation of what makes a good CreateML model. Anyway, this course made me a bit more confident to start to go deeper into ML, but I’ll need to research more to figure out how to get target results from my own data sets.
Subhadeep Chakraborty –
The content is good. One can understand basic of Core ML and how it works with iOS. The only thing I recommended about the course, there should be a online exam before you providing certificates.
MinKyeongTae –
good lecture
MinKyeongTae –
good lecture
Ganna Melnyk –
Definitely for beginners in Swift
Ganna Melnyk –
Definitely for beginners in Swift
Kiel Robinson –
Exactly what I was looking for! Straight to the point . well explained , good visuals.
Leonard Papilaya –
Clear explanatioin and to the point code demo. Good for intermediate advanced coder.