Probability and Statistics for Machine Learning helps learners build a strong mathematical foundation for machine learning and data science. The course introduces key concepts such as probability theory, probability distributions, statistical inference, hypothesis testing, and Bayesian methods using practical machine learning examples. By the end of this course, learners will understand how statistical concepts support machine learning models and data analysis. This course is ideal for aspiring data scientists, machine learning engineers, and analytics professionals who want to strengthen their mathematical fundamentals.
