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Agile Machine Learning with DataRobot by Bipin Chadha EPUB

Leverage DataRobot's enterprise AI platform and automated decision intelligence to extract business value from data

Key Features

Get well-versed with DataRobot features using real-world examples
Use this all-in-one platform to build, monitor, and deploy ML models for handling the entire production life cycle
Make use of advanced DataRobot capabilities to programmatically build and deploy a large number of ML models

Book Description

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.

What you will learn

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

Who this book is 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.

Table of Contents

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

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