Home Data Probability / Statistics - The Foundations of Machine Learning [Video]

Probability / Statistics - The Foundations of Machine Learning [Video]

By Dr. Mohammad Nauman
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Video $54.99
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50+ new titles added every month on new and emerging tech
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50+ new titles added every month on new and emerging tech
Early Access to eBooks as they are being written
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Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
Playlists, Notes and Bookmarks to easily manage your learning
Mobile App with offline access
What do you get with eBook?
Download this book in EPUB and PDF formats
Access this title in our online reader
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What do you get with video?
Download this video in MP4 format
Access this title in our online reader
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Online reader with customised display settings for better learning experience
What do you get with video?
Stream this video
Access this title in our online reader
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Online reader with customised display settings for better learning experience
What do you get with Audiobook?
Download a zip folder consisting of audio files (in MP3 Format) along with supplementary PDF
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Flashcards, Mock exams, Exam Tips, Practice Questions
Access these resources with our interactive certification platform
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  1. Free Chapter
    Diving in with Code
About this video
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! All the resources for this course are available at: https://github.com/PacktPublishing/Probability-Statistics---The-Foundations-of-Machine-Learning
Publication date:
June 2022
Publisher
Packt
Duration
6 hours 34 minutes
ISBN
9781803241197

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!

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Probability / Statistics - The Foundations of Machine Learning [Video]
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