Have you ever wondered how Amazon or Netflix knows exactly which product or show to recommend to you? The answer lies in the adoption of machine learning (ML) in business. In this course, we'll explore, through real-world examples, the various applications of machine learning and deep learning across different types of businesses.

We'll begin with an introduction to machine learning, where you'll explore the different types of machine learning, the uses of labelled and unlabelled datasets, and the key algorithms that power machine learning models. Using examples from healthcare, finance, marketing, and more, you'll learn the importance of selecting the right algorithm based on the specific problem and dataset characteristics.

Next, we'll introduce you to deep learning, where you'll explore the architecture of neural networks and learn how neurons, layers, and activation functions work together to create powerful models capable of solving complex tasks. You'll learn about the specific uses of Convolutional neural networks (CNN) and Recurrent neural networks (RNN), the challenges they offer and how to address them. You'll explore methods to train models to prevent overfitting and optimising techniques for enhancing model performance. The prerequisite for taking this course is completing our previous course in this series, ' Introduction to AI in Business'. Enroll now and embark on a learning journey to unlock the transformative potential of AI.