This course covers essential mathematical concepts such as linear algebra, calculus, and probability that are foundational for machine learning.
Focuses on the fundamentals of probability theory, including random variables, distributions, and statistical modeling.
Offers a deep dive into linear algebra, which is essential for solving complex problems in engineering, physics, and computer science.
Provides practical applications of calculus in real-world scenarios, from medicine to economics.
Part of the broader Data Science Professional Certificate, this course focuses on probability as used in data science.