Learning Outcomes

In this free course, you will learn how to:

• Outline the connection between artificial intelligence, machine learning and deep learning
• Describe the concept of supervised and unsupervised learning
• Recognise supervised learning building blocks of features and labels and provide examples
• Explain the process of training a model in supervised learning
• Recognise the challenges of underfitting and overfitting
• Identify classification and regression tasks
• Outline clustering and dimension reduction
• Describe reinforcement learning