About this Course

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Shareable Certificate
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Beginner Level

Basic familiarity with functions, basic algebra, and Python will help you get the most out of this specialization.

Approx. 5 hours to complete
English

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

Skills you will gain

  • Statistical Analysis
  • Probability And Statistics
  • Probability
  • Statistical Hypothesis Testing
  • Machine Learning (ML) Algorithms
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

Basic familiarity with functions, basic algebra, and Python will help you get the most out of this specialization.

Approx. 5 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Week1
Week 1
5 hours to complete

W1

5 hours to complete
2 readings

About the Mathematics for Machine Learning and Data Science Specialization

Mathematics for Machine Learning and Data Science

Frequently Asked Questions

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