Probability for Machine Learning – The Easiest Way of Learning

Probability is the measure of the likelihood that an event will occur, to know and understand the chances of various events and plan things accordingly. In this course, we will discuss the various concepts in Probability and their application in AI and ML.

365 days course access

Live instructor-led online classes

Industry-based projects

Learn how to apply probability to real data science and business applications!

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Includes:

  • 2 hours of lecture Videos
  • 20 hands-on practice exercises
  • 27 Assessment exercises
  • 5 code analysis exercises
  • 300 knowledge based questions
  • 2 Live connect sessions
             (Master classes)
  • Lifetime access
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Probability for Machine Learning – The Easiest Way of Learning

ABOUT THE COURSE

In this course, you will learn about probability, different types of distribution and density functions, joint distributions and density functions and the different moments, parameter estimation and minimum risk estimation and the application of probability in the field of Data Science and ML.

COURSE OBJECTIVES

Upon successful completion of the course, the learner will be able to :
  • Master the various concepts in Probability.
  • Learn how Probability plays an important role in prediction and decision making in AI and ML algorithms.

Course Content

Probability of Events, Conditional Probabilities, Random variables and Random Processes

In this topic, you will learn about introduction to probability and the various terms associated with it. You will understand conditional probability by solving various problems in random variables and finding probabilities for random processes.

  • 1 Video
  • 3 hours
  • 65 Problems

Probability Distributions and Densities, Choosing and Applying Probability Densities

In this topic, you will learn about different probability distribution and density functions. You will learn about choosing and applying appropriate Probability Densities functions.

  • 1 Video
  • 3 hours
  • 65 Problems

Joint Distributions and Densities, Moments

In this topic, you will learn about joint distributions and Densities.You will also understand the various order of Moments.

  • 1 Video
  • 3 hours
  • 65 Problems

Parameter Estimations, Minimum Risk Estimations

In this topic, you will learn about choosing the correct parameter through parameter estimation and risk estimation for a given process.

  • 1 Video
  • 3 hours
  • 65 Problems

Applications in Data Science and ML

In this topic, you will learn about the application of Probability in the field of Data Science and ML.

  • 1 Video
  • 10 hours
  • 92 Problems

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