Probability and statistics form the mathematical foundation of machine learning, helping quantify uncertainty in data and models. They support key tasks like inference, estimation, hypothesis testing, and Bayesian learning. Together, they enable more reliable predictions by turning randomness into measurable confidence.
EimanTahir027/Probability-and-Statistics-for-Machine-Learning-and-Artificial-Intelligence: Probability and statistics form the mathematical foundation of machine learning, helping quantify uncertainty in data and models. They support key tasks like inference, estimation, hypothesis testing, and Bayesian learning. Together, they enable more reliable predictions by turning randomness into measurable confidence.
