Virtual Classrooms

Statistical Learning

4.22 (127 Ratings)


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About this course

In this Introductory course on Statistics and Probability, you will learn the mathematical concepts required for Machine Learning. You will first start with the basics of probability followed by different methods for the use of probability in Machine Learning Study. These will be explained with case studies and examples. You will next learn about the rules of basic probability calculation. This will be followed up with learning Bayes Theorem. To conclude you will understand distributions and explore normal distribution in depth.

Skills covered

  • check Probability Theory
  • check Introduction to probability
  • check Rules for probability calculation
  • check Bayes Theorem
  • check Normal Distribution

Course Syllabus

Statistical Learning

  • play Case study on statistics and probability theory
  • play Solution for case study
  • play Introduction to probability
  • play Rules for probability calculation
  • play Bayes theorem Normal distribution

Course Certificate

Get Statistical Learning course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

GL Academy Sample Certificate
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