Artificial Intelligence Foundations: Machine Learning
Machine learning is an exciting branch of artificial intelligence. It allows systems to learn from data by identifying patterns and making decisions with minimal human intervention. In this course, you will be taken through the machine-learning lifecycle by getting hands-on practice training for your first machine-learning model. Join instructor Kesha Williams as she explores some of the widely adopted machine learning methods: supervised, unsupervised, and reinforcement. The course emphasizes how to source and prepare data, and further select the appropriate learning algorithm for your project. Once you have a trained model, learn how you can evaluate the performance of the model using standard metrics. Finally, Kesha takes you through how you could streamline this process by building a machine-learning pipeline. If you want an understanding of the machine learning lifecycle and the steps involved in building systems, then this course is for you.