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

Product typeBook
Published inFeb 2024
PublisherPackt
ISBN-139781804618127
Edition1st Edition
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Authors (3):
Jonas Christensen
Jonas Christensen
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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.
Read more about Jonas Christensen

Nakul Bajaj
Nakul Bajaj
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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.
Read more about Nakul Bajaj

Manmohan Gosada
Manmohan Gosada
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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.
Read more about Manmohan Gosada

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Unlocking the opportunity for small data ML

The group of tech companies famously labeled The Big Nine by author Amy Webb18 are examples of consumer internet companies that have leveraged big data and AI to build world dominance. Amazon, Apple, Alibaba, Baidu, Meta, Google, IBM, Microsoft, and Tencent dominate in the digital era because they utilize enormous amounts of user data to power their AI systems.

As network-based AI-first businesses, they have amassed customers on an unprecedented scale because users are happy to co-create and share their data, so long as it is a net benefit to them. For the Big Nine, getting enough modeling data is rarely a problem, and investing in the most advanced ML capabilities is a virtuous circle that enables more market dominance.

For most other organizations – and ML use cases – this sort of scale is unachievable. As we explored in Chapter 1, Exploring Data-Centric Machine Learning the long tail of ML opportunities doesn’...

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Data-Centric Machine Learning with Python
Published in: Feb 2024Publisher: PacktISBN-13: 9781804618127

Authors (3)

author image
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.
Read more about Jonas Christensen

author image
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.
Read more about Nakul Bajaj

author image
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.
Read more about Manmohan Gosada