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Developing Kaggle Notebooks

You're reading from   Developing Kaggle Notebooks Pave your way to becoming a Kaggle Notebooks Grandmaster

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781805128519
Length 370 pages
Edition 1st Edition
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Author (1):
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Gabriel Preda Gabriel Preda
Author Profile Icon Gabriel Preda
Gabriel Preda
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Table of Contents (14) Chapters Close

Preface 1. Introducing Kaggle and Its Basic Functions FREE CHAPTER 2. Getting Ready for Your Kaggle Environment 3. Starting Our Travel – Surviving the Titanic Disaster 4. Take a Break and Have a Beer or Coffee in London 5. Get Back to Work and Optimize Microloans for Developing Countries 6. Can You Predict Bee Subspecies? 7. Text Analysis Is All You Need 8. Analyzing Acoustic Signals to Predict the Next Simulated Earthquake 9. Can You Find Out Which Movie Is a Deepfake? 10. Unleash the Power of Generative AI with Kaggle Models 11. Closing Our Journey: How to Stay Relevant and on Top 12. Other Books You May Enjoy
13. Index

Introducing the competition

In this chapter, we examine data from the well-known Kaggle competition the Deepfake Detection Challenge (DFDC). The competition, detailed in Reference 1, commenced on December 11, 2019, and concluded on March 31, 2020. It attracted 2,265 teams comprising 2,904 participants, who collectively made 8,951 submissions. Competitors vied for a total prize pool of $1,000,000, with the first prize being $500,000.

The event was a collaborative effort involving AWS, Facebook, Microsoft, the Partnership on AI’s Media Integrity Steering Committee, and various academic entities. At the time, there was a widespread agreement among tech industry leaders and academics on the technical complexity and rapidly changing nature of media content manipulation. The competition’s aim was to encourage global researchers to devise innovative and effective technologies to detect deepfakes and media manipulation. Unlike later competitions that focused on code, this...

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