Students use a large language model to build an AI app that generates customized explanations of academic concepts at different complexity levels, supporting personalized and accessible learning for all students.
Students will use Python and a known algorithm to produce a solution using Linear Regression to predict an Artificial Intelligence (AI) solution in either Education, Music, Credit Card Fraud, or Sports.
Major advancements in computer programming are pushing machine learning practices to the forefront of big tech industry standards.
Students will explore AI in everyday life, machine learning, bias in AI, and the impact it can have on society, neural networks and K-nearest neighbors. Students will have an opportunity to update their app, ensuring there is an AI component included in their final design.
An invaluable exercise for beginner programming students is to teach them new ways to think. This lesson was written with the intention of introducing students to machine learning using image classification. Complexity has long been a barrier to exposing students to artificial intelligence.
A learning path for high school students into the study of Artificial intelligence (hereafter AI)/Machine Learning (hereafter ML). For my summer assignment I am working for Professor Tengyu Ma’s Artificial Intelligence lab.
We are using Artificial Intelligence (AI) in many areas of daily life.
Students will define the problem of stock market analysis and design models in machine learning to support the analysis.
This lesson series asks students to use a machine learning specialization to explore multiple case studies between various predictive models and analyze an intelligent application that makes predictions from data.