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Probability / Statistics - The Foundations of Machine Learning

You're reading from Probability / Statistics - The Foundations of Machine Learning Real-world, code-oriented learning s to use probability/statistics in all of CS, data science, and machine learning

Product type Video

Published in Jun 2022

Publisher Packt

ISBN-13 9781803241197

Length 6hrs 34mins

Edition 1st Edition

Languages

Python

Tools

Jupyter

Concepts

Data Science

Author (1):

Mohammad Nauman

View More author details

Table of Contents (7) Chapters

1. Diving in with Code

2. Measures of Spread FREE CHAPTER

3. Applications and Rules for Probability

4. Counting

Rules for Counting (Mostly Optional)

5. Random Variables - Rationale and Applications

6. Visualization in Intuition Building

7. Applications to the Real World

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Authors (1)

Mohammad Nauman

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!

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