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Introduction
(6:00)
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Introductiont To Scratch
(2:00)
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Working with Scratch
(9:00)
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Machine Learning For Kids
(2:00)
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Coding and Programming
(4:00)
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What is Artificial Intelligence
(6:00)
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Introduction To Machine Learning
(6:00)
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Neural Net and Deep Learning
(6:00)
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How to create a new ML project
(6:00)
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Phases of ML Project
10:00
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Project 1. Sorting Animal Pictures: Train, Learn and Test
(10:00)
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Sorting Animal Pictures Part 2: Making using Scratch
29:00
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Sorting Animal Pictures Part 3: What you have learned
4:00
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Project 2: Rock, Paper, Scissors : Train Learn and Test
(9:00)
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Rock, Paper, Scissors Part 2: Make with Scratch template
7:00
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Rock, Paper, Scissors Part 3: Review and Improve
3:00
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Project 3: Recognise Movie Poster: Train, Learn and Test
(11:00)
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Recognise Movie Poster Part 2: Prepare using Scratch
29:00
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Recognise Movie Poster Part 3: Review and Improve
3:00
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Project 4: Mail Sorting: Training and Testing the Model
(9:00)
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Mail Sorting Part 2: Scratch using template
8:00
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Mail Sorting Part 3: Reviewing and improving
3:00
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Project 5: Insulting a computer: Preparing game without ML
(11:00)
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Insulting a computer: Training and Coding with ML
12:00
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Insulting a computer: Improving with speech Input
15:00
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Project 6: Recognizing Language in Newspapers: Intro + Training and Testing
(15:00)
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Recognizing Language in Newspapers Part 2: Making using scratch
31:00
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Recognizing Language in Newspapers Part 3: Improving by measuring; Accuracy, confusion Matrix, Precision and recal
28:00
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Project 7: Finding and Object in the picture: Training the Model
(12:00)
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Finding and Object in the picture Part 2: Preparing the scratch model
5:00
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Finding and Object in the picture Part 3: Testing and Improving
6:00
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Project 8: Smart assistants: Code and Train without ML
(9:00)
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Smart assistants Part 2: Code with ML and Testing
10:00
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Smart assistants Part 3: Using Confidence score, Speech Input and collecting training data
10:00
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Project 9: Chatbots: Character Preparation, Training model
(10:00)
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Chatbots Part 2: Preparing and Testing Project
10:00
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Chatbots Part 3: Responding to user reports, emotional recognition, Confident replies
14:00
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Project 10: Avoiding the Monster: Description of State of game, Training
(16:00)
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Avoiding the Monster Part 2: The game
7:00
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Avoiding the Monster Part 3: Review and Improve
6:00
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Project 11: Tic Tac Toe Part 1: Preparing the game
(18:00)
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Tic Tac Toe Part 2: Training and Testing the game
8:00
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Tic Tac Toe Part 3: Review and Improve
5:00
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Project 12: Confusing the computer Part 1: Training the model
(12:00)
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Confusing the computer Part 2: Preparing and Testing the Project
7:00
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Confusing the computer Part 3: Review and improve the Project
5:00
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Project 13: Biasing the computer Part 1: Training model and Preparing project
(10:00)
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Biasing the computer Part 2: Testing the project, Introducing bias and Testing biased project
11:00
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