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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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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

Future of DataRobot

DataRobot was the early pioneer in the AutoML space and seems to be the dominant player, but there are many others (H20, Kortical, and Google Cloud AutoML, to name a few) that are catching up rapidly. Many of the large cloud players are jumping into this space and have offerings that are very attractively priced. DataRobot continues to offer additional capabilities combined with good support from experienced data scientists. To that end, we expect that the DataRobot API will continue to evolve and become more robust to allow experienced data scientists to use DataRobot in a highly flexible and automated way.

We have noticed new capabilities being released even as this book is being written, such as the recent acquisition of the Zepl notebook platform. In addition to that, DataRobot continues to acquire other companies to round out its offerings. Recently, a lot of focus has been on MLOps and enabling the rapid deployment of models. As the features and capabilities...

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