Advanced Learning Algorithms

In this second course of the Machine Learning Specialization by DeepLearning.AI and Stanford Online, you learn advanced supervised learning algorithms with a practical focus on building real-world AI applications. You will build and train neural networks with TensorFlow for multi-class classification, explore activation functions and optimization methods such as Adam, and extend models beyond binary classification. The course also covers decision trees and tree ensemble methods including random forests and boosted trees, along with best practices for machine learning development so your models generalize well to real-world data and tasks. Designed for beginners, it provides hands-on labs, programming assignments, and assessments to help you master modern machine learning techniques and responsible AI practices.