Advanced Concepts in Machine Learning
This document delves into advanced topics in machine learning, including deep learning
architectures such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
It also discusses techniques like transfer learning, reinforcement learning, and their applications in
fields such as natural language processing and autonomous vehicles. Case studies on real-world
applications such as AlphaGo and image recognition systems are included, with detailed
explanations of the underlying algorithms.