Machine learning (ML) is one of the most powerful and transformative technologies of our generation, enabling us to solve complex problems, and maximize productivity. However, ML also comes with potential risks and implications that need to be carefully considered and addressed. How can we ensure that our ML models are ethical, fair, transparent, and accountable? How can we communicate and explain our ML models to different stakeholders and audiences?
This micro provision course will help you acquire skills in the development of ML models using Python while also creating artefacts that can be used to explain the data that has been used to train them, how they have been evaluated before going into production and how they make their predictions using Responsible AI methods. You will also learn how to develop interactive dashboards that can be used to present both the models you have developed and the related artefacts.