Learning Outcomes

In this free course, you will learn how to:

• Define the foundational concepts and frameworks of Machine learning (ML)
• Illustrate how ML differs from traditional programming methodologies
• Recognise the different types of machine learning and their applications
• Analyse the applications, advantages and limitations of supervised and unsupervised ML
• Identify the key algorithms in machine learning, their functionalities and implementations
• Discuss the application of deep learning for optimising operations across various business domains
• Explain how neural networks are used to build intricate AI systems
• Create powerful models capable of solving complex tasks
• Describe how convolutional neural networks are used for image processing and computer vision applications
• Distinguish the uses of convolutional neural networks (CNN) and recurrent neural networks (RNN)
• Outline methods for training and optimising various types of AI models