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Data-Centric Machine Learning with Python

You're reading from Data-Centric Machine Learning with Python The ultimate guide to engineering and deploying high-quality models based on good data

Product type Paperback

Published in Feb 2024

Publisher Packt

ISBN-13 9781804618127

Length 378 pages

Edition 1st Edition

Languages

Python

Concepts

Deep Learning

Authors (3):

Jonas Christensen

Manmohan Gosada

Nakul Bajaj

View More author details

Table of Contents (17) Chapters

Preface

1. Part 1: What Data-Centric Machine Learning Is and Why We Need It FREE CHAPTER

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

Why subscribe?

16. Other Books You May Enjoy

References

https://www.idc.com/getdoc.jsp?containerId=prUS47560321, viewed on 23 September 2022
Lewis, A. R., 2006, The American Culture of War, Routledge, New York, USA
https://www.nasa.gov/feature/when-the-computer-wore-a-skirt-langley-s-computers-1935-1970, viewed on 23 September 2022
https://www.historyofdatascience.com/k-nearest-neighbors-algorithm-classification-and-regression-star/, viewed on 23 September 2022
http://large.stanford.edu/courses/2012/ph250/lee1/docs/Excepts_A_Conversation_with_Gordon_Moore.pdf, viewed on 23 September 2022
https://www.businessinsider.com/ibm-1970-mainframe-specs-are-ridiculous-today-2014-5, viewed on 22 September 2022
https://www.ibm.com/ibm/history/exhibits/mainframe/mainframe_PP3145.html, viewed on 22 September 2022
https://www.apple.com/au/iphone-14/specs/, viewed on 23 September 2022
https://www.quickbase.com/articles/timeline-of-database-history, viewed on 24 September 2022
https://www.dataversity.net...

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Authors (3)

Jonas Christensen

Jonas Christensen

Jonas Christensen has spent his career leading data science functions across multiple industries. He is an international keynote speaker, postgraduate educator, and advisor in the fields of data science, analytics leadership, and machine learning and host of the Leaders of Analytics podcast.

See other products by Jonas Christensen

Manmohan Gosada

Manmohan Gosada

Manmohan Gosada is a seasoned professional with a proven track record in the dynamic field of data science. With a comprehensive background spanning various data science functions and industries, Manmohan has emerged as a leader in driving innovation and delivering impactful solutions. He has successfully led large-scale data science projects, leveraging cutting-edge technologies to implement transformative products. With a postgraduate degree, he is not only well-versed in the theoretical foundations of data science but is also passionate about sharing insights and knowledge. A captivating speaker, he engages audiences with a blend of expertise and enthusiasm, demystifying complex concepts in the world of data science.

See other products by Manmohan Gosada

Nakul Bajaj

Nakul Bajaj

Nakul Bajaj is a data scientist, MLOps engineer, educator and mentor, helping students and junior engineers navigate their data journey. He has a strong passion for MLOps, with a focus on reducing complexity and delivering value from machine learning use-cases in business and healthcare.

See other products by Nakul Bajaj

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