In the ML/AI course, Drip Release is a learning format where content is released gradually over time, typically one section or lesson per day. This approach helps you absorb and apply the material effectively, allowing you to focus on one topic at a time. Each day, you’ll receive new content, including videos, readings, challenges, and quizzes, which you need to complete before moving on to the next set. This structured, step-by-step progression ensures a more manageable learning experience, encourages consistent engagement, and helps you build skills sequentially to reach your goals faster.
Day 0 starts with compulsory ML/AI basics, including Linear Regression and PCA, setting the foundation. On Day 1, you will explore Decision Trees, followed by Support Vector Machines on Day 2. Day 3 introduces Recurrent Neural Networks (RNN), and Day 4 dives into Long Short-Term Memory (LSTM) networks. Days 5 and 6 focus on combined AI models, integrating SVM with RNN and Regression with RNN, respectively. While this schedule is designed for optimal learning, you are free to progress at a slower pace if needed.
