When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.
Probability & Statistics for Machine Learning & Data Science
This course is part of Mathematics for Machine Learning and Data Science Specialization
Free
This Course Includes
coursera
4.6 (310 reviews )
33 hours (approximately) 
english
Online - Self Paced
course
DeepLearning.AI
About Probability & Statistics for Machine Learning & Data Science
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
What You Will Learn?
- Describe and quantify the uncertainty inherent in predictions made by machine learning models.
- Visually and intuitively understand the properties of commonly used probability distributions in machine learning and data science.
- Apply common statistical methods like maximum likelihood estimation (MLE) and maximum a priori estimation (MAP) to machine learning problems.
- Assess the performance of machine learning models using interval estimates and margin of errors .