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Data-Centric Machine Learning with Python

You're reading from  Data-Centric Machine Learning with Python

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781804618127
Pages 378 pages
Edition 1st Edition
Languages
Authors (3):
Jonas Christensen Jonas Christensen
Profile icon Jonas Christensen
Nakul Bajaj Nakul Bajaj
Profile icon Nakul Bajaj
Manmohan Gosada Manmohan Gosada
Profile icon Manmohan Gosada
View More author details

Table of Contents (17) Chapters

Preface 1. Part 1: What Data-Centric Machine Learning Is and Why We Need It
2. Chapter 1: Exploring Data-Centric Machine Learning 3. Chapter 2: From Model-Centric to Data-Centric – ML’s Evolution 4. Part 2: The Building Blocks of Data-Centric ML
5. Chapter 3: Principles of Data-Centric ML 6. Chapter 4: Data Labeling Is a Collaborative Process 7. Part 3: Technical Approaches to Better Data
8. Chapter 5: Techniques for Data Cleaning 9. Chapter 6: Techniques for Programmatic Labeling in Machine Learning 10. Chapter 7: Using Synthetic Data in Data-Centric Machine Learning 11. Chapter 8: Techniques for Identifying and Removing Bias 12. Chapter 9: Dealing with Edge Cases and Rare Events in Machine Learning 13. Part 4: Getting Started with Data-Centric ML
14. Chapter 10: Kick-Starting Your Journey in Data-Centric Machine Learning 15. Index 16. Other Books You May Enjoy

Sometimes, all you need is the right data

A few years ago, I (Jonas) was leading a team of data scientists tasked with an interesting but challenging problem. The financial services business we worked for attracted many new online visitors wanting to open new accounts with us through the company’s website. However, a significant number of potential customers couldn’t complete the account opening process for unknown reasons, which is why the company turned to its data scientists for help.

This problem of unopened accounts and lost customers was multifaceted, but we were determined to find every needle in the haystack. The account opening process was rather straightforward, designed to make it easy for someone to open a new account in less than 10 minutes with no support. For the customer, the steps were as follows:

  1. Enter personal details.
  2. Verify identity.
  3. Verify contact details.
  4. Accept the terms and conditions and open an account.

This process...

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