9781801078641_

Leverage DataRobots 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 DataRobots enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization.

Youll begin by learning how to use DataRobots 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, youll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. Youll also discover how to analyze the models predictions and turn them into actionable insights for business users. Next, youll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, youll find out how to operationalize and monitor the models performance. Finally, youll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities.

By the end of this book, youll have learned to use DataRobots 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 models 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.

(*_*)9781801078641_

Leverage DataRobots 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 DataRobots enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization. Youll begin by learning how to use DataRobots 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, youll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. Youll also discover how to analyze the models predictions and turn them into actionable insights for business users. Next, youll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, youll find out how to operationalize and monitor the models performance. Finally, youll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities. By the end of this book, youll have learned to use DataRobots 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 models 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.

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Agile Machine Learning with DataRobot

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