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

Product typeBook
Published inFeb 2024
PublisherPackt
ISBN-139781804618127
Edition1st Edition
Concepts
Deep Learning
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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
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

Manmohan Gosada
Manmohan Gosada
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

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Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

active learning 45, 169

approaches 170

diversity sampling 180, 181

example 169, 170

query by committee (QBC) 177-179

uncertainty sampling 170-177

Adaptive Boosting (AdaBoost) 326

Adaptive Synthetic Sampling (ADASYN) 235-238

Amazon Mechanical Turk (AMT) 57

analysis of variance (ANOVA) analysis 71

anomaly detection 303

anomaly detection algorithms

semi-supervised methods 304, 307

supervised methods 304, 310

unsupervised methods 303, 304

anonymization 221

applications, pattern matching

fraud detection 149

image recognition 149

text classification 149

time series analysis 149

Area Under the ROC Curve (AUC-ROC) 319

artificial intelligence (AI) 53

history 20-25

autoencoders 293, 307

implementing 308-310

automated machine...

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Published in: Feb 2024Publisher: PacktISBN-13: 9781804618127
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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

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