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Active Machine Learning with Python

You're reading from  Active Machine Learning with Python

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781835464946
Pages 176 pages
Edition 1st Edition
Languages
Author (1):
Margaux Masson-Forsythe Margaux Masson-Forsythe
Profile icon Margaux Masson-Forsythe

Table of Contents (13) Chapters

Preface 1. Part 1: Fundamentals of Active Machine Learning
2. Chapter 1: Introducing Active Machine Learning 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

Technical requirements

For this chapter, you will need the following:

  • A MongoDB account: (https://www.mongodb.com/)
  • A ClearML account: (https://app.clear.ml/)
  • GPU: You may check out the specific hardware requirements from the web page of the tool you will be using
  • An EC2 instance, factoring in cost considerations

In this chapter, you will need to install these packages:

pip install clearml
pip install pymongo

You will need the following imports:

import os
from clearml import Task, TaskTypes
import pymongo
import datetime
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