Published 9/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.08 GB | Duration: 1h 40m
Learn to build & code AI models using Scratch
What you’ll learn
Define and understand the meaning of AI and machine learning and explore their applications
Explore the different types and techniques in AI
Explore Machine Learning and how it works
Differentiate between various Machine Learning types
Implement different Machine Learning Algorithms
Develop Machine Learning programs in various areas.
Requirements
Basic scratch knowledge
Description
What is Artificial Intelligence? How does it impact our daily life? How to create Machine Learning models?…. In this course, we will answer all of those questions and many more while teaching you how to implement simple ML models for the real world using Scratch!Through this course you will develop your skills and knowledge in the following areas:The concept of Artificial Intelligence, when and how it started.The different types and techniques in AIExplore Machine Learning and how it worksDifferentiate between different Machine Learning typesExplore Machine Learning AlgorithmsDevelop Machine Learning programs in various areasBuild a variety of AI systems and models.how Machine learning can be used to make software and machines more intelligent.Differentiate between supervised learning and unsupervised learning Differentiate between Classification and Regression How chatbots are created Detailed course outline: Introduction to AI – Overview on history and Fields of AI:- Explore AI activities and games- Programming and AI – What is programming – Create and code a shooting gameArtificial Intelligence Applications- Explore different AI applications – Explore different AI branches – Create and code an advanced shooting gameIntroduction to Machine Learning – Overview of Machine Learning – Explore Ai game that uses Machine Learning – Differentiating between Machine Learning models- develop a smart game using machine learning algorithms with Scratch Introduction to supervised learning – Overview of supervised learning – Explore an AI game that uses a supervised learning algorithm – Differentiating between classification and regression – create a smart classroom project using scratch Introduction to Classification – taking a look into Classification applications – Explore AI activity that uses classification – Learn about confidence threshold – Project: create a model that can differentiate between Cats, Dogs and DucksText Classification- Overview of Text classification – Explore how chatbots are created – learn about Sentiment Analysis- Project: create a chatbot checkpoint – summary of previous classes- Take a mid-course quiz – Project: sort different vegetables and fruits in the fridge based on their categoryIntroduction to datasets and regression – What is data – What is regression – Explore a regression activity Introduction to decision trees – Overview of decision trees – Explore decision trees applications- Project: create a Tic Tac Toe game using the decision trees algorithm – Inspect the Decision tree structure – what is Pruning and why do we need it while applying decision trees – Project: create a Pac-Man game using decision trees AI activities – Interact with different AI activities ( Music, Pac-Man, POGO,….) AI Applications and Course Summary- Summary of the course – Explore advanced ai applications – End-of-course assessment – Develop an advanced AI chatbot
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 AI Activity
Lecture 3 AI and Programming
Lecture 4 What is programming
Lecture 5 Class Project: Shooting game part 1
Lecture 6 Conclusion
Section 2: Artificial Intelligence
Lecture 7 AI applications
Lecture 8 Artificial Intelligence Branches
Lecture 9 Class Project: Shooting game part 2
Lecture 10 Conclusion
Section 3: Machine Learning
Lecture 11 Introduction to Machine Learning
Lecture 12 What is Machine Learning
Lecture 13 AI Activity-2
Lecture 14 Types of Machine Learning
Lecture 15 How to create a project in ML for kids
Lecture 16 Class Project: Rock Paper Scissors
Lecture 17 Conclusion
Section 4: Supervised Learning
Lecture 18 Introduction to Supervised learning
Lecture 19 What is Supervised Learning?
Lecture 20 AI Activity: Thing Translator
Lecture 21 Activity Explanation
Lecture 22 Classification vs Regression
Lecture 23 Class Project: Smart Classroom
Lecture 24 conclusion
Section 5: Classification
Lecture 25 Introduction to Classification
Lecture 26 Classification Applications
Lecture 27 AI Activity: Hand Track
Lecture 28 Activity Explanation
Lecture 29 Confidence Threshold
Lecture 30 Class Project: Cat, Dog and Duck
Lecture 31 Conclusion
Section 6: Chatbots
Lecture 32 Text Classification
Lecture 33 Activity: Mitsuku
Lecture 34 Sentiment Analysis
Lecture 35 Class Project: Chatbots
Lecture 36 Conclusion
Section 7: Checkpoint!
Lecture 37 Summary of Previous Classes
Lecture 38 Mid Course Project
Section 8: Datasets and Regression
Lecture 39 Introduction to datasets and regression
Lecture 40 What is Data?
Lecture 41 Regression
Lecture 42 Activity: Regression
Lecture 43 Conclusion
Section 9: Decision Trees
Lecture 44 Introduction to Decision Trees
Lecture 45 What’s a Decision tree?
Lecture 46 Decision Trees Applications
Lecture 47 Activity: Akinator
Lecture 48 Class Project: Tic Tac Toe
Lecture 49 Conclusion
Section 10: Decision Trees Continued
Lecture 50 Decision Tree Structure
Lecture 51 Activity: Decision Trees
Lecture 52 Pruning
Lecture 53 Class Project: Pac Man
Lecture 54 Conclusion
Section 11: AI Activities
Lecture 55 Introduction to AI activities
Lecture 56 Activity: AI Music
Lecture 57 Activity: POGO Kids!
Lecture 58 Activity: PacMan
Lecture 59 Project: Open Project
Lecture 60 Conclusion
Section 12: AI Applications and Course Summary
Lecture 61 Introduction
Lecture 62 Summary
Lecture 63 AI Applications
Lecture 64 Final Project: AI Chatbot
Lecture 65 Course Conclusion
Passionate kids who are interested in learning AI,kids and beginners who want to learn more about AI,Anyone new to AI who doesn’t know where to start
Homepage
https://www.udemy.com/course/artificial-intelligence-for-kids/
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Published 9/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.08 GB | Duration: 1h 40m
Learn to build & code AI models using Scratch
What you’ll learn
Define and understand the meaning of AI and machine learning and explore their applications
Explore the different types and techniques in AI
Explore Machine Learning and how it works
Differentiate between various Machine Learning types
Implement different Machine Learning Algorithms
Develop Machine Learning programs in various areas.
Requirements
Basic scratch knowledge
Description
What is Artificial Intelligence? How does it impact our daily life? How to create Machine Learning models?…. In this course, we will answer all of those questions and many more while teaching you how to implement simple ML models for the real world using Scratch!Through this course you will develop your skills and knowledge in the following areas:The concept of Artificial Intelligence, when and how it started.The different types and techniques in AIExplore Machine Learning and how it worksDifferentiate between different Machine Learning typesExplore Machine Learning AlgorithmsDevelop Machine Learning programs in various areasBuild a variety of AI systems and models.how Machine learning can be used to make software and machines more intelligent.Differentiate between supervised learning and unsupervised learning Differentiate between Classification and Regression How chatbots are created Detailed course outline: Introduction to AI – Overview on history and Fields of AI:- Explore AI activities and games- Programming and AI – What is programming – Create and code a shooting gameArtificial Intelligence Applications- Explore different AI applications – Explore different AI branches – Create and code an advanced shooting gameIntroduction to Machine Learning – Overview of Machine Learning – Explore Ai game that uses Machine Learning – Differentiating between Machine Learning models- develop a smart game using machine learning algorithms with Scratch Introduction to supervised learning – Overview of supervised learning – Explore an AI game that uses a supervised learning algorithm – Differentiating between classification and regression – create a smart classroom project using scratch Introduction to Classification – taking a look into Classification applications – Explore AI activity that uses classification – Learn about confidence threshold – Project: create a model that can differentiate between Cats, Dogs and DucksText Classification- Overview of Text classification – Explore how chatbots are created – learn about Sentiment Analysis- Project: create a chatbot checkpoint – summary of previous classes- Take a mid-course quiz – Project: sort different vegetables and fruits in the fridge based on their categoryIntroduction to datasets and regression – What is data – What is regression – Explore a regression activity Introduction to decision trees – Overview of decision trees – Explore decision trees applications- Project: create a Tic Tac Toe game using the decision trees algorithm – Inspect the Decision tree structure – what is Pruning and why do we need it while applying decision trees – Project: create a Pac-Man game using decision trees AI activities – Interact with different AI activities ( Music, Pac-Man, POGO,….) AI Applications and Course Summary- Summary of the course – Explore advanced ai applications – End-of-course assessment – Develop an advanced AI chatbot
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 AI Activity
Lecture 3 AI and Programming
Lecture 4 What is programming
Lecture 5 Class Project: Shooting game part 1
Lecture 6 Conclusion
Section 2: Artificial Intelligence
Lecture 7 AI applications
Lecture 8 Artificial Intelligence Branches
Lecture 9 Class Project: Shooting game part 2
Lecture 10 Conclusion
Section 3: Machine Learning
Lecture 11 Introduction to Machine Learning
Lecture 12 What is Machine Learning
Lecture 13 AI Activity-2
Lecture 14 Types of Machine Learning
Lecture 15 How to create a project in ML for kids
Lecture 16 Class Project: Rock Paper Scissors
Lecture 17 Conclusion
Section 4: Supervised Learning
Lecture 18 Introduction to Supervised learning
Lecture 19 What is Supervised Learning?
Lecture 20 AI Activity: Thing Translator
Lecture 21 Activity Explanation
Lecture 22 Classification vs Regression
Lecture 23 Class Project: Smart Classroom
Lecture 24 conclusion
Section 5: Classification
Lecture 25 Introduction to Classification
Lecture 26 Classification Applications
Lecture 27 AI Activity: Hand Track
Lecture 28 Activity Explanation
Lecture 29 Confidence Threshold
Lecture 30 Class Project: Cat, Dog and Duck
Lecture 31 Conclusion
Section 6: Chatbots
Lecture 32 Text Classification
Lecture 33 Activity: Mitsuku
Lecture 34 Sentiment Analysis
Lecture 35 Class Project: Chatbots
Lecture 36 Conclusion
Section 7: Checkpoint!
Lecture 37 Summary of Previous Classes
Lecture 38 Mid Course Project
Section 8: Datasets and Regression
Lecture 39 Introduction to datasets and regression
Lecture 40 What is Data?
Lecture 41 Regression
Lecture 42 Activity: Regression
Lecture 43 Conclusion
Section 9: Decision Trees
Lecture 44 Introduction to Decision Trees
Lecture 45 What’s a Decision tree?
Lecture 46 Decision Trees Applications
Lecture 47 Activity: Akinator
Lecture 48 Class Project: Tic Tac Toe
Lecture 49 Conclusion
Section 10: Decision Trees Continued
Lecture 50 Decision Tree Structure
Lecture 51 Activity: Decision Trees
Lecture 52 Pruning
Lecture 53 Class Project: Pac Man
Lecture 54 Conclusion
Section 11: AI Activities
Lecture 55 Introduction to AI activities
Lecture 56 Activity: AI Music
Lecture 57 Activity: POGO Kids!
Lecture 58 Activity: PacMan
Lecture 59 Project: Open Project
Lecture 60 Conclusion
Section 12: AI Applications and Course Summary
Lecture 61 Introduction
Lecture 62 Summary
Lecture 63 AI Applications
Lecture 64 Final Project: AI Chatbot
Lecture 65 Course Conclusion
Passionate kids who are interested in learning AI,kids and beginners who want to learn more about AI,Anyone new to AI who doesn’t know where to start
Homepage
https://www.udemy.com/course/artificial-intelligence-for-kids/
DOWNLOAD FROM RAPIDGATOR.NET
DOWNLOAD FROM RAPIDGATOR.NET
DOWNLOAD FROM UPLOADGIG.COM
DOWNLOAD FROM UPLOADGIG.COM
DOWNLOAD FROM NITROFLARE.COM
DOWNLOAD FROM NITROFLARE.COM