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Bayes theorem in Probability with examples

Track :

Mathematics

Lessons no : 3

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What will you learn in this course?
  • Apply Bayes’ theorem to update probabilities based on new evidence in real-world scenarios
  • Calculate conditional probabilities using Bayes’ formula for medical testing, spam filtering, and risk analysis
  • Interpret the intuition behind Bayes’ theorem to improve decision-making in data analysis and machine learning
  • Solve practical problems involving probability updates, enhancing skills in statistics, data science, and predictive modeling

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Lessons | 3


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28 Reviews

Javeria Javed

very good 2025-09-12

John Keith

the course is great, but the others talks in hindi too much 2025-09-08

nicholus omayo

It's a great course to study. 2025-09-01

ulrich delanoe DJE

I would like to sincerely thank the course organizers for this valuable learning experience. The course content was clear, well-structured, and highly relevant. It not only enhanced my theoretical knowledge but also improved my practical understanding of the subject. I greatly appreciate the opportunity to access high-quality education for free, along with a certificate of completion. I look forward to enrolling in more courses in the future. 2025-08-06

Mehedi Hasan Mahfuz

Excellent class tutorial 2025-07-01

sakshi patil

nice 2025-06-26

Nora_taallah

.. 2025-06-17

Jonathan Steven Marín Hernández

Me encanto el curso 2025-06-12

Adithi NARLAGIRI

Good 2025-06-09

SYED MOHAMMED SHAHEED

Gooddd 2025-05-28

Umar Shair

Great method of teaching 2025-05-26

Gopalpet Loukika

This helped me a lot ,thank-you! 2025-05-16

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Bayes theorem in Probability course, in this course dives deep into one of probability theory’s most powerful concepts. You'll explore the fundamental principles of Bayes’ theorem, learning how it provides a structured way to update probabilities based on new data. Starting with basic concepts, we’ll break down conditional probability and introduce you to the theorem’s formula and intuition. Through practical examples—such as medical testing accuracy, spam detection, and risk assessment—you’ll see how to apply Bayes’ theorem in real-world situations. Whether you’re in statistics, machine learning, or data analysis, this course equips you with valuable insights into data-driven decision-making.