Thanks to AI Bridge for bringing their AI coding in Python boot camp to us!
The CIS Sandbox is hosting an AI Boot Camp on Saturday/Sunday Oct 21-22. Jack Fan, from AI Bridge, an organization founded by high school students mentored by a CS Professor at UC Davis . Their program presents AI concepts to people who specialize in non-computer-science related fields or who are interested in applying AI for their own uses. They have developed a two-day intro to AI workshop for us that introduces AI concepts and algorithms, including linear and logistic regression, classification, model evaluation, and surface-level exploration into some unsupervised learning algorithms. Familiarity with Python (variables, functions, math operations, basic data frames) is required to participate.
Recordings from the bootcamp:
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AI Bridge Workshop 2023 – Intro
This workshop develops a couple key AI concepts and algorithms, including linear and logistic regression, classification, model evaluation, and surface-level exploration into unsupervised learning and its related algorithms. The goal of AIBridge is to bridge the gap between AI and all application domains, and thus it is important to remember to focus on the validity of the process when creating effective high-level AI applications. -
AI Bridge Workshop 2023 – Lecture 1
Lecture 1 covers the basics of linear regression, polynomial regression, and logistic-regression classification. -
AI Bridge Workshop 2023 – Lab 1
Lab 1 covers the basics of linear regression, polynomial regression, and logistic-regression classification. -
AI Bridge Workshop 2023 – Lecture 2
Lecture 2 covers further classification algorithms that expand the ability of AI to classify in 2 or more classes. -
AI Bridge Workshop 2023 – Lab 2
Lab 2 covers further classification algorithms that expand the ability of AI to classify in 2 or more classes. -
AI Bridge Workshop 2023 – Lecture 3
Lecture 3 covers how AI models are evaluated and statistical measures of success for these models. It also explains why accuracy isn’t always the most valuable metric when considering AI models. -
AI Bridge Workshop 2023 – Lab 3
Lab 3 covers how AI models are evaluated and statistical measures of success for these models. It also explains why accuracy isn’t always the most valuable metric when considering AI models. -
AI Bridge Workshop 2023 – Lecture 4
Lecture 4 covers common pitfalls when creating AI models, including (most notably) overfitting, underfitting, and feature selection/engineering. -
AI Bridge Workshop 2023 – Lab 4
Lab 4 covers common pitfalls when creating AI models, including (most notably) overfitting, underfitting, and feature selection/engineering. -
AI Bridge Workshop 2023 – Conclusion
The conclusion to the AIBridge x Bentley Intro to AI Workshop will touch on unsupervised learning, future applications of AI, and ChatGPT. Then, students will have a chance to envision their own AI application projects
