About this Workshop
Campus: Wellesley College | Rising Grades: 10,11,12
How does Siri understand a question? How does Spotify know which songs to recommend? How does a website know if you are a human or a bot? Answer these questions and more by exploring the ways that computers can learn from experience, just as humans do. Take a look at the algorithms behind machine learning and the fundamental theories that form our understanding of artificial intelligence. Use Google’s Teachable Machine to understand how computers can learn from data sets. Then, examine real-world challenges to computer pattern recognition and propose solutions as you practice essential machine learning techniques. Identify the positive and negative impacts machine learning can have on our daily lives and society at large, including how computers can perpetuate human biases. Then, consider which impacts are ultimately more valuable to society and what we are willing to exchange for technological progress. Note: this course requires no previous computer science experience, but experienced coders will be given opportunities to expand their skill sets.
Train a computer using images, sounds, and poses, and work to improve its accuracy through experience.
Think like a Data Scientist
Collaborate and solve problems with a focus on how computers analyze data.
Answer Ethical Questions
Examine ways that machine learning can perpetuate inequities and develop strategies to mitigate this.