An online non-credit course authorized by DeepLearningAI and offered through Cursera
- Describe and quantify the uncertainty inherent in predictions made by machine learning models
- Apply common statistical methods like maximum likelihood estimation (MLE) and maximum a priori estimation (MAP) to machine learning problems
- Visually and intuitively understand the properties of commonly used probability distributions in machine learning and data science
- Assess the performance of machine learning models using interval estimates and margin of errors