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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

Product type Paperback

Published in Dec 2021

Publisher Packt

ISBN-13 9781801076807

Length 344 pages

Edition 1st Edition

Languages

Python

Tools

Datarobot

Concepts

Agile

Authors (2):

Bipin Chadha

Sylvester Juwe

View More author details

Table of Contents (19) Chapters

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

Section 3: Advanced Topics

This section covers many of the advanced topics and capabilities that you can leverage once you have mastered the previous sections. This section provides examples of advanced capabilities that experienced data scientists will use to make them more productive. Some chapters in this section require a familiarity with Python programming.

This section comprises the following topics:

Chapter 9, Forecasting and Time Series Modeling
Chapter 10, Recommender Systems
Chapter 11, Working with Geospatial Data, NLP, and Image Processing
Chapter 12, DataRobot Python API
Chapter 13, Model Governance and MLOps
Chapter 14, Conclusion

The rest of the chapter is locked

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Authors (2)

Chadha

Chadha

Bipin Chadha is a hands-on leader of data science teams who can find innovative solutions to complex problems. He creates systemic data-driven models that enable executives to understand how their business operates, analyze a broad range of scenarios and strategies, and understand the likely implications of decisions and events prior to implementing risky changes. His passion is building data-driven cultures, developing effective teams, and driving organizations to grow and succeed.

See other products by Chadha

Juwe

Juwe

Sylvester Juwe is a highly accomplished Executive, with hands-on technical expertise implementing complex Big Data and Advanced Analytics solutions, from conceptualisation to commercial impact. He is a well versed leader who leverages sophisticated data capabilities, influences stakeholders, and creates a strong culture of governance and curiosity in solving complex business challenges, thereby creating commercial impact.

See other products by Juwe

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