Udemy - iOS Machine Learning with Core ML, Swift 6, and SwiftUI

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Udemy - iOS Machine Learning with Core ML, Swift 6, and SwiftUI (Size: 1.5 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction
  1. Test Your Skills (Description).html 716.8 B
  1. Test Your Skills.html 18.8 KB
  1. What is Machine Learning (Description).html 921.6 B
  1. What is Machine Learning.en_US.srt 6.4 KB
  1. What is Machine Learning.mp4 105.8 MB
  1. What is Machine Learning.vi_VN.srt 8.1 KB
  2 - Training a Dog-Breed Classifier on Your Mac with Create ML
  10. Recognizing Dogs - the Starter App (Description).html 819.2 B
  10. Recognizing Dogs - the Starter App.en_US.srt 3.3 KB
  10. Recognizing Dogs - the Starter App.mp4 47.9 MB
  10. Recognizing Dogs - the Starter App.vi_VN.srt 4.1 KB
  11. Integrating the Dog Breed Classifier Model (Description).html 921.6 B
  11. Integrating the Dog Breed Classifier Model.en_US.srt 3.9 KB
  11. Integrating the Dog Breed Classifier Model.mp4 37.3 MB
  11. Integrating the Dog Breed Classifier Model.vi_VN.srt 4.7 KB
  12. Extracting Predictions (Description).html 819.2 B
  12. Extracting Predictions.en_US.srt 6.2 KB
  12. Extracting Predictions.mp4 97.7 MB
  12. Extracting Predictions.vi_VN.srt 7.6 KB
  13. Building the SwiftUI User Interface (Description).html 921.6 B
  13. Building the SwiftUI User Interface.en_US.srt 3.4 KB
  13. Building the SwiftUI User Interface.mp4 40.7 MB
  13. Building the SwiftUI User Interface.vi_VN.srt 4.3 KB
  14. Completing the App (Description).html 819.2 B
  14. Completing the App.en_US.srt 3.9 KB
  14. Completing the App.mp4 53.7 MB
  14. Completing the App.vi_VN.srt 4.8 KB
  3 - Natural Language Text Analysis
  15. Natural Language Text Analysis - What Are We Going to Build (Description).html 819.2 B
  15. Natural Language Text Analysis - What Are We Going to Build.en_US.srt 1.6 KB
  15. Natural Language Text Analysis - What Are We Going to Build.mp4 2.9 MB
  15. Natural Language Text Analysis - What Are We Going to Build.vi_VN.srt 2 KB
  16. Recognizing the Dominant Language of a Text (Description).html 819.2 B
  16. Recognizing the Dominant Language of a Text.en_US.srt 5.4 KB
  16. Recognizing the Dominant Language of a Text.mp4 25.2 MB
  16. Recognizing the Dominant Language of a Text.vi_VN.srt 6.7 KB
  17. Tokenizing a String (Description).html 716.8 B
  17. Tokenizing a String.en_US.srt 3.6 KB
  17. Tokenizing a String.mp4 16.7 MB
  17. Tokenizing a String.vi_VN.srt 4.5 KB
  18. Identifying Parts of Speech (Description).html 819.2 B
  18. Identifying Parts of Speech.en_US.srt 3.1 KB
  18. Identifying Parts of Speech.mp4 14.2 MB
  18. Identifying Parts of Speech.vi_VN.srt 3.8 KB
  19. Identifying People, Places and Organizations (Description).html 819.2 B
  19. Identifying People, Places and Organizations.en_US.srt 2 KB
  19. Identifying People, Places and Organizations.mp4 10.2 MB
  19. Identifying People, Places and Organizations.vi_VN.srt 2.4 KB
  4 - Image Analysis with the Vision Framework
  20. Image Analysis with the Vision Framework - What Are We Going to Build (Description).html 819.2 B
  20. Image Analysis with the Vision Framework - What Are We Going to Build.en_US.srt 819.2 B
  20. Image Analysis with the Vision Framework - What Are We Going to Build.mp4 11.2 MB
  20. Image Analysis with the Vision Framework - What Are We Going to Build.vi_VN.srt 1.2 KB
  21. The Starter App (Description).html 819.2 B
  21. The Starter App.en_US.srt 4 KB
  21. The Starter App.mp4 44.8 MB
  21. The Starter App.vi_VN.srt 5 KB
  22. Analyzing Still Images using Vision (Description).html 819.2 B
  22. Analyzing Still Images using Vision.en_US.srt 1.6 KB
  22. Analyzing Still Images using Vision.mp4 3 MB
  22. Analyzing Still Images using Vision.vi_VN.srt 2 KB
  23. Implementing the Image Request Handler (Description).html 716.8 B
  23. Implementing the Image Request Handler.en_US.srt 6.6 KB
  23. Implementing the Image Request Handler.mp4 68.3 MB
  23. Implementing the Image Request Handler.vi_VN.srt 8.6 KB
  24. Implementing the Image Analysis Request (Description).html 819.2 B
  24. Implementing the Image Analysis Request.en_US.srt 5.6 KB
  24. Implementing the Image Analysis Request.mp4 41.8 MB
  24. Implementing the Image Analysis Request.vi_VN.srt 7.1 KB
  25. Converting Coordinates Between Quartz 2D and UIKit (Description).html 819.2 B
  25. Converting Coordinates Between Quartz 2D and UIKit.en_US.srt 3.3 KB
  25. Converting Coordinates Between Quartz 2D and UIKit.mp4 34.3 MB
  25. Converting Coordinates Between Quartz 2D and UIKit.vi_VN.srt 4.2 KB
  26. Visualizing the Detected Rectangles (Description).html 716.8 B
  26. Visualizing the Detected Rectangles.en_US.srt 5.6 KB
  26. Visualizing the Detected Rectangles.mp4 48.9 MB
  26. Visualizing the Detected Rectangles.vi_VN.srt 7.3 KB
  27. Recognizing Text, Faces and Barcodes in Still Images (Description).html 921.6 B
  27. Recognizing Text, Faces and Barcodes in Still Images.en_US.srt 3.9 KB
  27. Recognizing Text, Faces and Barcodes in Still Images.mp4 76.1 MB
  27. Recognizing Text, Faces and Barcodes in Still Images.vi_VN.srt 4.8 KB
  5 - Determining the Tonality of a Review
  28. Review Sentiment Analysis - What Are We Going to Build (Description).html 819.2 B
  28. Review Sentiment Analysis - What Are We Going to Build.en_US.srt 716.8 B
  28. Review Sentiment Analysis - What Are We Going to Build.mp4 1.5 MB
  28. Review Sentiment Analysis - What Are We Going to Build.vi_VN.srt 921.6 B
  29. Preparing the Training Data for the Review Sentiment Classifier (Description).html 819.2 B
  29. Preparing the Training Data for the Review Sentiment Classifier.en_US.srt 1.5 KB
  29. Preparing the Training Data for the Review Sentiment Classifier.mp4 4.9 MB
  29. Preparing the Training Data for the Review Sentiment Classifier.vi_VN.srt 2 KB
  30. Training a Text Classifier in a Playground (Description).html 819.2 B
  30. Training a Text Classifier in a Playground.en_US.srt 5.3 KB
  30. Training a Text Classifier in a Playground.mp4 30.8 MB
  30. Training a Text Classifier in a Playground.vi_VN.srt 6.5 KB
  31. Creating the MLTextClassifier (Description).html 716.8 B
  31. Creating the MLTextClassifier.en_US.srt 4.8 KB
  31. Creating the MLTextClassifier.mp4 53.6 MB
  31. Creating the MLTextClassifier.vi_VN.srt 6.2 KB
  32. Saving the Core ML Model (Description).html 716.8 B
  32. Saving the Core ML Model.en_US.srt 2.7 KB
  32. Saving the Core ML Model.mp4 29.2 MB
  32. Saving the Core ML Model.vi_VN.srt 3.5 KB
  33. Laying Out the User Interface of the Review Classifier App (Description).html 819.2 B
  33. Laying Out the User Interface of the Review Classifier App.en_US.srt 2.6 KB
  33. Laying Out the User Interface of the Review Classifier App.mp4 17.7 MB
  33. Laying Out the User Interface of the Review Classifier App.vi_VN.srt 3.3 KB
  34. Integrating the Review Classifier Model (Description).html 819.2 B
  34. Integrating the Review Classifier Model.en_US.srt 5.7 KB
  34. Integrating the Review Classifier Model.mp4 69.1 MB
  34. Integrating the Review Classifier Model.vi_VN.srt 7.3 KB
  35. Testing the Review Classifier App (Description).html 819.2 B
  35. Testing the Review Classifier App.en_US.srt 3.6 KB
  35. Testing the Review Classifier App.mp4 76.2 MB
  35. Testing the Review Classifier App.vi_VN.srt 4.7 KB
  6 - Next Steps + Bonuses
  36. Goodbye! (Description).html 716.8 B
  36. Goodbye!.en_US.srt 1.1 KB
  36. Goodbye!.mp4 9.4 MB
  36. Goodbye!.vi_VN.srt 1.4 KB
  37. Companion eBook (Description).html 716.8 B
  37. Companion eBook.html 5.9 KB
  37. Machine Learning with Core ML 2 and Swift.pdf 21.9 MB
  38. Bonus Lecture Learn More from Karoly + Useful Links (Description).html 716.8 B
  38. Bonus Lecture Learn More from Karoly + Useful Links.html 10.4 KB
  7. What Are We Going to Build (Description).html 716.8 B
  7. What Are We Going to Build.en_US.srt 819.2 B
  7. What Are We Going to Build.mp4 22.3 MB
  7. What Are We Going to Build.vi_VN.srt 1.1 KB
  8. Recognizing Dog Breeds - Preparing the Training Data (Description).html 921.6 B
  8. Recognizing Dog Breeds - Preparing the Training Data.en_US.srt 3 KB
  8. Recognizing Dog Breeds - Preparing the Training Data.mp4 38.1 MB
  8. Recognizing Dog Breeds - Preparing the Training Data.vi_VN.srt 3.8 KB
  9. Training an Image Classifier in Create ML (Description).html 921.6 B
  9. Training an Image Classifier in Create ML.en_US.srt 10.4 KB
  9. Training an Image Classifier in Create ML.mp4 134.4 MB
  9. Training an Image Classifier in Create ML.vi_VN.srt 13.5 KB
  2. How Machines Learn (Description).html 716.8 B
  2. How Machines Learn.en_US.srt 4.3 KB
  2. How Machines Learn.mp4 81.2 MB
  2. How Machines Learn.vi_VN.srt 5.3 KB
  3. The Supervised Machine Learning Model (Description).html 819.2 B
  3. The Supervised Machine Learning Model.en_US.srt 5.8 KB
  3. The Supervised Machine Learning Model.mp4 98.3 MB
  3. The Supervised Machine Learning Model.vi_VN.srt 7.6 KB
  4. iOS and Machine Learning (Description).html 716.8 B
  4. iOS and Machine Learning.en_US.srt 3.8 KB
  4. iOS and Machine Learning.mp4 67.9 MB
  4. iOS and Machine Learning.vi_VN.srt 4.6 KB
  5. Exercise Files (Description).html 819.2 B
  5. Exercise Files.en_US.srt 1.5 KB
  5. Exercise Files.mp4 10 MB
  5. Exercise Files.vi_VN.srt 1.7 KB
  6. Join the Official Student Group (Description).html 716.8 B
  6. Join the Official Student Group.html 6.6 KB

Description


iOS Machine Learning with Core ML, Swift 6, and SwiftUI
https://WebToolTip.com
Last updated 3/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 2h 14m | Size: 1.51 GB
Learn how to integrate machine learning into iOS apps. Hands-on Swift 6 coding using Core ML, Vision, CreateML and NLP.
What you'll learn

Gain insights from a software engineer with over 30 years of hands-on professional experience.

Get a practical introduction to machine learning in iOS and macOS development.

Gain a practical understanding of Create ML, Core ML, Vision, and Natural Language Processing.

Train and evaluate custom image classifiers directly on your Mac using Create ML.

Set up and integrate Core ML models into SwiftUI projects.

Build iOS apps that can recognize objects, faces, barcodes, and text in photos and video streams.

Integrate natural language text analysis and sentiment detection into your apps.

The companion eBook (a $28.80 value on Amazon) is included free!
Requirements

To follow along, you’ll need a Mac running macOS Tahoe and Xcode 26, Apple’s latest development environment.

You should be comfortable with the basics of Swift 5 or Swift 6 programming — just enough to read and write simple code.

You should be familiar with Xcode basics such as creating projects and running apps.

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