Probability and Statistics Essentials for Machine Learning
Probability and statistics concepts are the foundational subjects needed for a good grasp of data science techniques, machine learning, and AI algorithms. This beginner-friendly course in probability and statistics is geared toward novices who want to have a good grasp of the fundamental mathematics toolkit of machine learning. For those who have already taken a course in probability and statistics, they will find this course a good way to revise the concepts as the material presented allows quick learning and example-based learning of concepts.
This course cover various important concepts, such as random variable, probability distribution, the law of large numbers, correlation, maximum likelihood estimation (MLE), and maximum a posteriori estimation (MAP) widely used in data science, machine learning, and AI domains.
Course Lessons
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Course Instructor
Dr. Rahul Rai
CEO AIBrilliance
We are Driving Data, the only online learning platform that provides certification for your data science skills, so it's time to get certified and start making an impact on the world!
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