Welcome to your immersive and transformative introduction to machine learning.
Unlike traditional teaching methods, our program draws inspiration from MIT’s renowned teaching traditions, emphasizing active learning, real-world problem-solving, and collaborative exploration.
By blending dynamic discussions, immersive activities, hands-on exercises and moments of traditional lecturing, we create a transformative experience that goes beyond passive learning and empowers you to think critically, experiment boldly and master the foundations of machine learning.
We teach students general approaches to problem-solving, with a key focus on breaking down larger, intimidating problems into manageable subproblems. This strategy not only demystifies complex topics but inherently builds student confidence.
In this program, we introduce machine learning (ML) by deconstructing complete ML solutions into a series of well-defined subproblems. Each subproblem is approached through engaging real-world applications, such as detecting pneumonia using chest x-rays or predicting a successful basketball shot by Kobe Bryant.
As students progress through these applications, the complexity of the ML techniques gradually increases. This deliberate escalation in difficulty encourages students to consistently step outside their comfort zone while steadily gaining confidence and competence in ML.
The MISTI Peru program covers various topics in machine learning and data science over 9 days.
Participants will explore diverse, engaging datasets. For instance, students will analyze California Census data to grasp fundamental concepts, predict successful basketball shots using Kobe Bryant's statistics, and even tackle medical challenges by exploring pneumonia in chest X-rays. This variety not only keeps the learning experience exciting but also demonstrates the wide-ranging applications of machine learning in different fields.
Here's a summary of the main concepts covered each day: