[FreeCourseLab.com] Udemy - Machine Learning for Apps

• [FreeCourseLab.com] Udemy - Machine Learning for Apps
• 1. Intro to Course/1. What is Machine Learning.mp4 32.7 MB
• 1. Intro to Course/1. What is Machine Learning.vtt 10.1 KB
• 1. Intro to Course/2. Basics of Machine Learning.mp4 27.6 MB
• 1. Intro to Course/2. Basics of Machine Learning.vtt 8.4 KB
• 1. Intro to Course/3. Installing Anaconda Python Environment.mp4 32.8 MB
• 1. Intro to Course/3. Installing Anaconda Python Environment.vtt 9.3 KB
• 1. Intro to Course/4. Downloading Setting Up Atom & Plugins.mp4 34 MB
• 1. Intro to Course/4. Downloading Setting Up Atom & Plugins.vtt 12 KB
• 2. Python Basics/1. Variables in Python.mp4 24.7 MB
• 2. Python Basics/1. Variables in Python.vtt 10.9 KB
• 2. Python Basics/2. Functions, Conditionals, & Loops in Python.mp4 28.4 MB
• 2. Python Basics/2. Functions, Conditionals, & Loops in Python.vtt 11.6 KB
• 2. Python Basics/3. Arrays & Tuples in Python.mp4 38.2 MB
• 2. Python Basics/3. Arrays & Tuples in Python.vtt 17 KB
• 2. Python Basics/4. Importing Modules in Python.mp4 20.6 MB
• 2. Python Basics/4. Importing Modules in Python.vtt 6.8 KB
• 3. Building a Classification Model/1. What is scikit-learn Why use it.mp4 9.8 MB
• 3. Building a Classification Model/1. What is scikit-learn Why use it.vtt 4.5 KB
• 3. Building a Classification Model/2. Installing scikit-learn & scipy with Anaconda.mp4 11.7 MB
• 3. Building a Classification Model/2. Installing scikit-learn & scipy with Anaconda.vtt 3.8 KB
• 3. Building a Classification Model/3. Intro to the Iris Dataset.mp4 9.3 MB
• 3. Building a Classification Model/3. Intro to the Iris Dataset.vtt 4.2 KB
• 3. Building a Classification Model/4. Datasets Features & Labels Explained.mp4 22.3 MB
• 3. Building a Classification Model/4. Datasets Features & Labels Explained.vtt 9.4 KB
• 3. Building a Classification Model/5. Loading the Iris Dataset Examining & Preparing Data.mp4 28.6 MB
• 3. Building a Classification Model/5. Loading the Iris Dataset Examining & Preparing Data.vtt 11.7 KB
• 3. Building a Classification Model/6. Creating Training a KNeighborsClassifier.mp4 31.6 MB
• 3. Building a Classification Model/6. Creating Training a KNeighborsClassifier.vtt 12.1 KB
• 3. Building a Classification Model/7. Testing Prediction Accuracy with Test Data.mp4 26.5 MB
• 3. Building a Classification Model/7. Testing Prediction Accuracy with Test Data.vtt 14.6 KB
• 3. Building a Classification Model/8. Building Our Own KNeighborsClassifier.mp4 35.8 MB
• 3. Building a Classification Model/8. Building Our Own KNeighborsClassifier.vtt 21.9 KB
• 4. Building a Convolutional Neural Network/1. What is Keras Why use it.mp4 28.7 MB
• 4. Building a Convolutional Neural Network/1. What is Keras Why use it.vtt 9.9 KB
• 4. Building a Convolutional Neural Network/2. What is a Convolutional Neural Network (CNN).mp4 53.1 MB
• 4. Building a Convolutional Neural Network/2. What is a Convolutional Neural Network (CNN).vtt 34.7 KB
• 4. Building a Convolutional Neural Network/3. Installing Keras with Anaconda.mp4 19.5 MB
• 4. Building a Convolutional Neural Network/3. Installing Keras with Anaconda.vtt 5.5 KB
• 4. Building a Convolutional Neural Network/4. Preparing Dataset for a CNN.mp4 55.8 MB
• 4. Building a Convolutional Neural Network/4. Preparing Dataset for a CNN.vtt 21.4 KB
• 4. Building a Convolutional Neural Network/5. Building Visualizing a CNN using Sequential Part 1.mp4 53.2 MB
• 4. Building a Convolutional Neural Network/5. Building Visualizing a CNN using Sequential Part 1.vtt 17.9 KB
• 4. Building a Convolutional Neural Network/6. Building Visualizing a CNN using Sequential Part 2.mp4 43.8 MB
• 4. Building a Convolutional Neural Network/6. Building Visualizing a CNN using Sequential Part 2.vtt 24 KB
• 4. Building a Convolutional Neural Network/7. Training CNN Evaluating Accuracy Saving to Disk.mp4 66.4 MB
• 4. Building a Convolutional Neural Network/7. Training CNN Evaluating Accuracy Saving to Disk.vtt 21.4 KB
• 4. Building a Convolutional Neural Network/8. Switching Python Environments Converting to Core ML Model.mp4 33.3 MB
• 4. Building a Convolutional Neural Network/8. Switching Python Environments Converting to Core ML Model.vtt 16.3 KB
• 5. Building a Handwriting Recognition App/1. Intro to App – Handwriting.mp4 8.3 MB
• 5. Building a Handwriting Recognition App/1. Intro to App – Handwriting.vtt 3.7 KB
• 5. Building a Handwriting Recognition App/2. Building Interface Wiring Up.mp4 36.3 MB
• 5. Building a Handwriting Recognition App/2. Building Interface Wiring Up.vtt 15 KB
• 5. Building a Handwriting Recognition App/3. Drawing On Screen.mp4 71.4 MB
• 5. Building a Handwriting Recognition App/3. Drawing On Screen.vtt 26.8 KB
• 5. Building a Handwriting Recognition App/4. Importing Core ML Model Reading Metadata.mp4 20.9 MB
• 5. Building a Handwriting Recognition App/4. Importing Core ML Model Reading Metadata.vtt 6.8 KB
• 5. Building a Handwriting Recognition App/5. Utilizing Core ML Vision to Make Prediction.mp4 64.5 MB
• 5. Building a Handwriting Recognition App/5. Utilizing Core ML Vision to Make Prediction.vtt 21.7 KB
• 5. Building a Handwriting Recognition App/6. Handling Displaying Prediction Results.mp4 54.8 MB
• 5. Building a Handwriting Recognition App/6. Handling Displaying Prediction Results.vtt 18.7 KB
• 5. Building a Handwriting Recognition App/6.1 ML-Source-Code.zip.zip 12.2 MB
• 6. Core ML Basics/1. Intro to App – Core ML Photo Analysis.mp4 24.1 MB
• 6. Core ML Basics/1. Intro to App – Core ML Photo Analysis.vtt 5.5 KB
• 6. Core ML Basics/10. Passing Images Through Core ML Model.mp4 49.4 MB
• 6. Core ML Basics/10. Passing Images Through Core ML Model.vtt 16 KB
• 6. Core ML Basics/11. Handling Core ML Prediction Results.mp4 36.2 MB
• 6. Core ML Basics/11. Handling Core ML Prediction Results.vtt 12.3 KB
• 6. Core ML Basics/11.1 machine-learning-core-awesomeness.zip.zip 15.9 MB
• 6. Core ML Basics/12. Challenge – Core ML Photo Analysis.mp4 6.9 MB
• 6. Core ML Basics/12. Challenge – Core ML Photo Analysis.vtt 1.5 KB
• 6. Core ML Basics/2. What is Machine Learning.mp4 32.7 MB
• 6. Core ML Basics/2. What is Machine Learning.vtt 10.1 KB
• 6. Core ML Basics/3. What is Core ML.mp4 17.3 MB
• 6. Core ML Basics/3. What is Core ML.vtt 6.8 KB
• 6. Core ML Basics/4. Creating Xcode Project.mp4 9.6 MB
• 6. Core ML Basics/4. Creating Xcode Project.vtt 3.2 KB
• 6. Core ML Basics/4.1 Core-ML-Assets.zip.zip 607.7 KB
• 6. Core ML Basics/5. Building ImageVC in Interface Builder Wiring Up.mp4 25.3 MB
• 6. Core ML Basics/5. Building ImageVC in Interface Builder Wiring Up.vtt 9.9 KB
• 6. Core ML Basics/6. Creating ImageCell & Subclass Wiring Up.mp4 27.3 MB
• 6. Core ML Basics/6. Creating ImageCell & Subclass Wiring Up.vtt 10.9 KB
• 6. Core ML Basics/7. Creating FoodItems Helper File.mp4 25.3 MB
• 6. Core ML Basics/7. Creating FoodItems Helper File.vtt 8.9 KB
• 6. Core ML Basics/8. Creating Custom 3x3 Grid UICollectionViewFlowLayout.mp4 30.5 MB
• 6. Core ML Basics/8. Creating Custom 3x3 Grid UICollectionViewFlowLayout.vtt 12.1 KB
• 6. Core ML Basics/9. Choosing, Downloading, Importing Core ML Model.mp4 23.6 MB
• 6. Core ML Basics/9. Choosing, Downloading, Importing Core ML Model.vtt 6.8 KB

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