Machine Learning with Scratch
Discover the Power of AI and Coding!
This course introduces young learners to artificial intelligence (AI) and machine learning through Scratch, a visual programming language. Students will explore how computers can learn from data, make predictions, and recognize patterns, all while creating interactive projects. The course provides a foundational understanding of machine learning concepts and coding skills for future success in AI and technology.
Key Highlights:
Introduction to Machine Learning: Learn the basics of AI and how computers learn from data.
Interactive Projects: Create projects where Scratch programs recognize patterns and make predictions.
Data Exploration: Experiment with datasets to train Scratch models.
Supervised Learning: Train machines using labeled data to predict outcomes.
Pattern Recognition: Use Scratch to identify patterns in data, such as sorting or classifying images and sounds.
Real-World Applications: Apply machine learning to create recommendation systems or adaptive games.
Basic AI Concepts: Understand classification, regression, and decision trees through visual programming.
Hands-On Learning: Build projects step-by-step to reinforce machine learning concepts.
Course Objectives:
Introduce AI and machine learning in an easy-to-understand way.
Teach students how to create projects that use machine learning techniques.
Explore coding concepts like loops, variables, and conditionals in the context of AI.
Enable students to create interactive programs that simulate AI tasks.
Spark interest in AI, technology, and data science.
Promote creativity, problem-solving, and critical thinking.
Who Can Join?
Ideal for beginners and kids interested in AI, technology, and problem-solving, with no prior coding experience required.
Outcome:
By the end of the course, students will have a solid understanding of machine learning and be able to apply these concepts to create AI-driven projects in Scratch.