Introduction to Machine Learning: Advanced STEM
Introduction to Machine Learning: Advanced STEM
In this course, students will learn about the power of machine learning using data pattern recognition. They will design a machine learning application to demonstrate how data can be transformed into powerful outputs with the power of computing.
Included Materials
Included Materials
Modules Included:
Module 1: What is Machine Learning?
Module 2: Intro to Python
Module 3: Python Data Structures & Algorithms
Module 4: ML in Python with Libraries
Module 5: Neural Networks
Module 6: Industry Applications of Machine Learning
Module 7: Final Project
Key Concepts & Vocabulary
Key Concepts & Vocabulary
In the Advanced STEM Mastery Pathway, students are able to explore a range of advanced STEM topics through courses that address the following learning goals:
-Understand the fundamental concepts of computers and computer engineering, artificial intelligence, and machine learning
-Be able to use advanced coding languages and concepts to create working programs that meet desired specifications
-Develop and use troubleshooting strategies to refine and iterate projects
-Understand the real world applications of various advanced STEM technologies, related careers, and opportunities for personal growth through technology
Appropriate Age Levels
Appropriate Age Levels
Grades 9-12
Subscription Term
Subscription Term
One year
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