Mastering Machine Learning in iOS with SwiftUI: From Basics to Advanced
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Discussions
Introduction
Chapter 1: Introduction to Machine Learning and Its Relationship to AI
Chapter 2: Machine Learning Techniques
Chapter 3: Apple’s Machine Learning Ecosystem
Chapter 4: Create ML and Core ML
Chapter 5: CreateML and Transfer Learning
Chapter 6: Getting Started with Create ML
Chapter 7: VisionFeaturePrint_Screen
Chapter 8: Create ML Project Interface and Model Training
Chapter 9: Improving Model Performance
Chapter 10: Vision Framework with Core ML
Chapter 11: Using Machine Learning Model with Core ML
Chapter 13: Using Existing ML Model in Apps
Chapter 12: Steps to Train Machine Learning Models
Chapter 14: Object Detection in Create ML - Data Prep
Chapter 15: Object Detection in Create ML - Model Training
Chapter 16: Object Detection in Create ML - Using Model
Chapter 17: Style Transfer Technique
Chapter 18: Using Style Transfer Technique in SwiftUI App
Chapter 19: Hand Pose Classification
Chapter 20: Rock-Paper-Scissor App
Chapter 21: Action Classification Model using Create ML
Chapter 22: Using Action Classifier Model in an App
Chapter 23: Activity Classification using Create ML
Chapter 24: Using Activity Classification Model in SwiftUI App
Chapter 25: Collecting Activity Motion Data using iPhone
Chapter 26: Sound Classification in Create ML
Chapter 27: Animal Sound Classification in SwiftUI
Chapter 28: Built-in Sound Classification with Sound Analysis framework
Chapter 29: Text Classification in Create ML
Chapter 30: Word Tagging in Create ML
Chapter 31: Tabular Classification
Chapter 32: Tabular Regression
Chapter 33: Recommendations Model using Create ML
Chapter 34: Understanding Training Data
Chapter 35: Thank You for Reading!
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Course
Section
Lesson
Chapter 33: Recommendations Model using Create ML
Chapter 33: Recommendations Model using Create ML
Mastering Machine Learning in iOS with SwiftUI: From Basics to Advanced
Buy now
Learn more
Discussions
Introduction
Chapter 1: Introduction to Machine Learning and Its Relationship to AI
Chapter 2: Machine Learning Techniques
Chapter 3: Apple’s Machine Learning Ecosystem
Chapter 4: Create ML and Core ML
Chapter 5: CreateML and Transfer Learning
Chapter 6: Getting Started with Create ML
Chapter 7: VisionFeaturePrint_Screen
Chapter 8: Create ML Project Interface and Model Training
Chapter 9: Improving Model Performance
Chapter 10: Vision Framework with Core ML
Chapter 11: Using Machine Learning Model with Core ML
Chapter 13: Using Existing ML Model in Apps
Chapter 12: Steps to Train Machine Learning Models
Chapter 14: Object Detection in Create ML - Data Prep
Chapter 15: Object Detection in Create ML - Model Training
Chapter 16: Object Detection in Create ML - Using Model
Chapter 17: Style Transfer Technique
Chapter 18: Using Style Transfer Technique in SwiftUI App
Chapter 19: Hand Pose Classification
Chapter 20: Rock-Paper-Scissor App
Chapter 21: Action Classification Model using Create ML
Chapter 22: Using Action Classifier Model in an App
Chapter 23: Activity Classification using Create ML
Chapter 24: Using Activity Classification Model in SwiftUI App
Chapter 25: Collecting Activity Motion Data using iPhone
Chapter 26: Sound Classification in Create ML
Chapter 27: Animal Sound Classification in SwiftUI
Chapter 28: Built-in Sound Classification with Sound Analysis framework
Chapter 29: Text Classification in Create ML
Chapter 30: Word Tagging in Create ML
Chapter 31: Tabular Classification
Chapter 32: Tabular Regression
Chapter 33: Recommendations Model using Create ML
Chapter 34: Understanding Training Data
Chapter 35: Thank You for Reading!
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