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iOS Machine Learning with Core ML 2 and Swift 5
 
Content
01 - What is Machine Learning
02 - What You Should Know
04 - Supervised and Unsupervised Machine Learning
05 - The Machine Learning Model
06 - iOS and Machine Learning
07 - Exercise Files
08 - A High
09 - The CoreML Framework
10 - The NaturalLanguage Framework
11 - The Vision Framework
12 - The GamePlayKit Framework
13 - Natural Language Text Analysis What Are We Going to Build
14 - Recognizing the Dominant Language of a Text
15 - Tokenizing a String
16 - Identifying Parts of Speech
17 - Identifying People Places and Organizations
18 - Image Analysis with the Vision Framework What Are We Going to Build
19 - The Starter App
20 - Analyzing Still Images using Vision
21 - Implementing the Image Request Handler
22 - Implementing the Image Analysis Request
23 - Converting Coordinates Between Quartz 2D and UIKit
24 - Visualizing the Detected Rectangles
25 - Recognizing Text Faces and Barcodes in Still Images
26 - Training a Flower Classifier on Your Computer What Are We Going to Build
27 - Recognizing Flowers
28 - Training an Image Classifier in a Playground
29 - Recognizing Flowers
30 - Integrating the Flower Classifier Model
31 - Displaying Predictions
32 - Picking an Image
33 - Performing the Image Analysis Request
34 - The Flower Recognizer App in Action
35 - Review Sentiment Analysis
36 - Preparing the Training Data for the Review Sentiment Classifier
37 - Training a Text Classifier in a Playground
38 - Creating the MLTextClassifier
39 - Saving the Core ML Model
40 - Laying Out the User Interface of the Review Classifier App
41 - Integrating the Review Classifier Model
42 - Testing the Review Classifier App