DataRobot enables data science teams to become more efficient and productive. This 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.

By the end of this 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.

Osoby które kupowały "Agile Machine Learning with DataRobot", wybierały także:

• Windows Media Center. Domowe centrum rozrywki 66,67 zÅ‚, (8,00 zÅ‚ -88%)
• Ruby on Rails. Ćwiczenia 18,75 zÅ‚, (3,00 zÅ‚ -84%)
• DevOps w praktyce. Kurs video. Jenkins, Ansible, Terraform i Docker 190,00 zÅ‚, (39,90 zÅ‚ -79%)
• Przywództwo w Å›wiecie VUCA. Jak być skutecznym liderem w niepewnym Å›rodowisku 58,64 zÅ‚, (12,90 zÅ‚ -78%)
• Scrum. O zwinnym zarzÄ…dzaniu projektami. Wydanie II rozszerzone 58,64 zÅ‚, (12,90 zÅ‚ -78%)

Spis treści

Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value eBook -- spis treści

• 1. What Is DataRobot and Why You Need It
• 2. Machine Learning Basics
• 3. Understanding and Defining Business Problems
• 4. Preparing Data for DataRobot
• 5. Exploratory Data Analysis with DataRobot
• 6. Model Building with DataRobot
• 7. Model Understanding and Explainability
• 8. Model Scoring and Deployment
• 9. Forecasting and Time Series Modeling
• 10. Recommender Systems
• 11. Working with Geospatial Data, NLP, and Image Processing
• 12. DataRobot Python API
• 13. Model Governance and MLOps
• 14. Conclusion