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Introduction to Machine Learning: Advanced STEM

Introduction to Machine Learning: Advanced STEM

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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

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

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

Grades 9-12

Subscription Term

One year

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Introduction to Machine Learning: Advanced STEM
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