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    Machine Learning

    Train a computer model to recognize and identify images or sounds—without in-depth coding—while considering ethical implications and applications of the field.

    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.

    Highlights

    Teachable Machine
    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.