Agile Machine Learning with DataRobot
This book can help you rapidly explore and build a broader range of machine learning models using DataRobot's capabilities. You'll learn how to deploy ML models and operationalize and monitor their performance using practical examples. Data science experts will learn how to scale model building by using the Python API, among other advanced topics.
Offered by
Difficulty Level
Intermediate
Completion Time
11h28m
Language
English
About Book
Who Is This Book For?
This book is for data scientists, data analysts, and data enthusiasts looking for a practical guide to building and deploying robust machine learning models using DataRobot. Experienced data scientists will also find this book helpful for rapidly exploring, building, and deploying a broader range of models. The book assumes a basic understanding of machine learning.
Agile Machine Learning with DataRobot
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h28m total length
What Is DataRobot and Why You Need It
Machine Learning Basics
Understanding and Defining Business Problems
Preparing Data for DataRobot
Exploratory Data Analysis with DataRobot
Model Building with DataRobot
Model Understanding and Explainability
Model Scoring and Deployment
Forecasting and Time Series Modeling
Recommender Systems
Working with Geospatial Data, NLP, and Image Processing
DataRobot Python API
Model Governance and MLOps
Conclusion
Related Resources
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