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Agile Machine Learning with DataRobot

You're reading from   Agile Machine Learning with DataRobot Automate each step of the machine learning life cycle, from understanding problems to delivering value

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Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781801076807
Length 344 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Bipin Chadha Bipin Chadha
Author Profile Icon Bipin Chadha
Bipin Chadha
Sylvester Juwe Sylvester Juwe
Author Profile Icon Sylvester Juwe
Sylvester Juwe
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Foundations
2. Chapter 1: What Is DataRobot and Why You Need It? FREE CHAPTER 3. Chapter 2: Machine Learning Basics 4. Chapter 3: Understanding and Defining Business Problems 5. Section 2: Full ML Life Cycle with DataRobot: Concept to Value
6. Chapter 4: Preparing Data for DataRobot 7. Chapter 5: Exploratory Data Analysis with DataRobot 8. Chapter 6: Model Building with DataRobot 9. Chapter 7: Model Understanding and Explainability 10. Chapter 8: Model Scoring and Deployment 11. Section 3: Advanced Topics
12. Chapter 9: Forecasting and Time Series Modeling 13. Chapter 10: Recommender Systems 14. Chapter 11: Working with Geospatial Data, NLP, and Image Processing 15. Chapter 12: DataRobot Python API 16. Chapter 13: Model Governance and MLOps 17. Chapter 14: Conclusion 18. Other Books You May Enjoy

Summary

In this chapter, we covered some of the basic machine learning concepts that will come in handy as we go through the remaining chapters, and they will also be useful in your data science journey. Please note that we have only covered concepts at a high level, and depending on your job role, you might want to explore some areas in more detail. We have also related this material to how DataRobot performs certain functions and where you need to pay closer attention.

Hopefully, this has given you some insights into what DataRobot will be displaying and where to focus your attention in different stages of your project. Since DataRobot automates a good chunk of model building and prediction tasks, it might be tempting to ignore many of the outputs that DataRobot is automatically producing for you. Please resist that temptation. DataRobot software is taking considerable pains and resources to produce those outputs for a very good reason. It is also doing much of the grunt work...

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