## Video description

The objective of this course is to give you a solid foundation needed to excel in all areas of computer science—specifically data science and machine learning. The issue is that most of the probability and statistics courses are too theory-oriented. They get tangled in the math without discussing the importance of applications. Applications are always given secondary importance.

In this course, we take a code-oriented approach. We apply all concepts through code. In fact, we skip over all the useless theory that isn’t relevant to computer science. Instead, we focus on the concepts that are more useful for data science, machine learning, and other areas of computer science. For instance, many probability courses skip over Bayesian inference. We will get to this immensely important concept rather quickly and give it due attention as it is widely thought of as the future of analysis!

This way, you get to learn the most important concepts in this subject in the shortest amount of time possible without having to deal with the details of the less relevant topics. Once you have developed an intuition of the important stuff, you can then learn the latest and greatest models even on your own!

#### What You Will Learn

- Learn all necessary concepts in stats and probability
- Learn important concepts for data science and/or machine learning
- Understand distributions and their importance
- Learn about Entropy, which is the foundation of all machine learning
- Introduction to Bayesian Inference
- Learn to apply concepts through code

#### Audience

#### About The Author

**Dr. Mohammad Nauman:** Dr. Mohammad Nauman has a PhD in computer science and a PostDoc from the Max Planck Institute for software systems. He has been programming since early 2000 and has worked with many different languages, tools, and platforms. He holds extensive research experience with many state-of-the-art models. His research in Android security has led to some major shifts in the Android permission model.

He loves teaching and the most important reason he teaches online is to make sure that maximum people can learn through his content. Hope you have fun learning with him!

## Table of contents

## Product information

- Title: Probability / Statistics - The Foundations of Machine Learning
- Author(s):
- Release date: June 2022
- Publisher(s): Packt Publishing
- ISBN: 9781803241197

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