Machine Learning Workshop
Girl 2.0 Virtual Series
July 25, 2020 - August 16, 2020
4 Weeks, Saturdays and Sundays from 12:30pm - 2:00pm PST
Why should you attend?
Artificial intelligence has inherently humanistic applications. It is revolutionizing not only our Siri and Netflix experiences, but critical industries such as medicine, transportation, economics, and criminal justice. In this course, we focus specifically on the branch of artificial intelligence that is supervised machine learning. Students first learn the syntax of Python, a versatile and efficient programming language popular in the machine learning realm. Then they will switch gears and become familiarized with the core concepts of supervised machine learning, especially important classification models like linear/logistic regression, support vector machines (SVMs), and neural networks.
What will you learn?
Students will supplement theory-based learning with understanding simple real-world machine learning examples, such as utilizing logistic regression to assess the Titanic survival dataset. Drawing on both their newfound Python and machine learning skills, students will experiment with larger-scale projects, including learning how to recognize handwritten digits from the MNIST database with neural networks and how to use SVMs to identify motifs in the human genome. We hope this course will give students the experience they need to dive more deeply into machine learning and its applications in today’s society.
Schedule of Events
Session 1: July 25 - Intro to Machine Learning
Session 5: August 8 - Support Vector Machines