A4.1 Machine learning fundamentals
This subtopic covers the types of machine learning (Deep, Reinforcement, Supervised, Transfer, Unsupervised Learning), their real-world applications (e.g., medical imaging, robotics, sentiment analysis), and the necessary hardware ranging from laptops to GPUs and cloud platforms, considering processing, storage, and scalability. Last updated 11 Mar 2026 Lesson starters for each lesson have been included. These...