
The inaugural Math Academy podcast addresses listener questions regarding the platform's upcoming courses and features. Jason and Justin focus primarily on the Machine Learning course, detailing its content, structure, and the extensive effort behind its development, including the creation of 20 application-oriented projects designed to provide practical experience. They discuss the importance of coding skills for the machine learning course and the decision to create a computer science course to address this need. The pair also touches on the need for improvements to the spaced repetition system, including incorporating reference reliance and in-lesson coaching. They also mention the vision for integrating coding projects into math courses beyond machine learning.
Sign in to continue reading, translating and more.
Continue