• A comprehensive overview of the concepts and principle behind Machine Learning • Exploration of real-world applications of Machine Learning • Differentiating different Machine Learning types • Introducing popular Machine Learning tools and frameworks
• An overview of state of the art Machine Learning Methods • Examples from weather, climate and beyond
• Introduction to Explainable AI • Importance of Explainability • Interpretability techniques and use cases
