Free
Intermediate
Video
STEM
4 Lessons
0% Not started
Machine learning is a rapidly growing field with limitless applications. This course is an introduction to the subject, covering basic theory as well as the necessary mathematical tools needed to understand both elementary and higher level ML concepts. In addition, we will be using code to solidify concepts and their applications. The only required tool for this class is a laptop with an internet connection.
In this lesson, you will learn the fundamentals of Linear regression and K-NN classification.
In this 2nd lesson, we will introduce the concept of Support Vector Machines.
In this lesson, we will introduce Neural Networks and their Applications part 1.
In this lesson, you will learn the 2nd part of Neural Networks and their Applications.
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Shoumik is a rising senior at Westwood High School in Austin, Texas. He is a multiple time AIME qualifier, 4X Austin Regional Science Fair Top 3 (Computer Science, and Physics), 4X TSEF qualifier, 2X TSEF Top 3, Member of The Health Physics Society, and President of both the Westwood HS AI/ML club, and Computer Science Club. In addition Shoumik is a published author with publications and presentations at IEEE IJCNN and European Union HBP. Shoumik’s research interests include Generative AI, optimization, and signal processing. He hopes his time at Kid Teach Kid will foster other kids’ interest in AI and ML. In his free time, Shoumik enjoys playing soccer, watching movies, and tackling massive competitive eating challenges!
