Agile Machine Learning with DataRobot
- Paperback: 344 pages
- Publisher: WOW! eBook (December 24, 2021)
- Language: English
- ISBN-10: 1801076804
- ISBN-13: 978-1801076807
Agile Machine Learning with DataRobot: Leverage DataRobot’s enterprise AI platform and automated decision intelligence to extract business value from data
DataRobot enables data science teams to become more efficient and productive. This Agile Machine Learning with DataRobot book helps you to address machine learning (ML) challenges with DataRobot’s enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization.
You’ll begin by learning how to use DataRobot’s features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you’ll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You’ll also discover how to analyze the model’s predictions and turn them into actionable insights for business users. Next, you’ll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you’ll find out how to operationalize and monitor the model’s performance. Finally, you’ll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities.
- Understand and solve business problems using DataRobot
- Use DataRobot to prepare your data and perform various data analysis tasks to start building models
- Develop robust ML models and assess their results correctly before deployment
- Explore various DataRobot functions and outputs to help you understand the models and select the one that best solves the business problem
- Analyze a model’s predictions and turn them into actionable insights for business users
- Understand how DataRobot helps in governing, deploying, and maintaining ML models
By the end of this Agile Machine Learning with DataRobot book, you’ll have learned to use DataRobot’s AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors.
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