AI & Machine Learning

AI & Machine Learning class teaches students how computers can learn to make decisions or predictions without being directly programmed for every task. In this type of course, you typically learn:

• What Artificial Intelligence (AI) is: how computers can imitate human thinking, problem-solving, and decision-making.
  
  

• What Machine Learning (ML) is: a branch of AI where systems learn patterns from data and improve over time.
  
  

• Types of learning methods: such as supervised learning (training with labeled examples), unsupervised learning (finding patterns without labels), and reinforcement learning (learning by trial and error).
  
  

• How models are built and trained: using data, algorithms, and evaluation techniques to make sure the model works well.
  
  

• Real-world uses: like recommendation systems, voice assistants, image recognition, and more.
  
  

Overall, the class explains the concepts behind AI systems, teaches you how to build and evaluate machine learning models, and shows how these technologies are applied in everyday life.