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Active Machine Learning with Python

You're reading from   Active Machine Learning with Python Refine and elevate data quality over quantity with active learning

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781835464946
Length 176 pages
Edition 1st Edition
Languages
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Author (1):
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Margaux Masson-Forsythe Margaux Masson-Forsythe
Author Profile Icon Margaux Masson-Forsythe
Margaux Masson-Forsythe
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Toc

Table of Contents (13) Chapters Close

Preface 1. Part 1: Fundamentals of Active Machine Learning
2. Chapter 1: Introducing Active Machine Learning FREE CHAPTER 3. Chapter 2: Designing Query Strategy Frameworks 4. Chapter 3: Managing the Human in the Loop 5. Part 2: Active Machine Learning in Practice
6. Chapter 4: Applying Active Learning to Computer Vision 7. Chapter 5: Leveraging Active Learning for Big Data 8. Part 3: Applying Active Machine Learning to Real-World Projects
9. Chapter 6: Evaluating and Enhancing Efficiency 10. Chapter 7: Utilizing Tools and Packages for Active ML 11. Index 12. Other Books You May Enjoy

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

versus passive learning 13, 14

active machine learning (active ML) 3, 115-117, 131, 132

components 5

definition 4

implementing, for image classification project 66

loop 6

methods 131

used, for enhancing production model monitoring 128

using, for segmentation project 84-88

active ML, applications 4

anomaly detection 5

computer vision applications 4

medical diagnosis 5

natural language tasks 4

recommendation systems 5

active ML, for image classification project

CNN, building for CIFAR dataset 67-73

uncertainty sampling, applying to improve classification performance 73- 76

active ML pipelines

monitoring 124-127

active ML run

cessation, determining 127, 128

active ML, to object detection project

applying 76

...
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