Bipin Chadha - Agile Machine Learning with DataRobot: Automate each step of the machine learning life cycle, from understanding problems to delivering value
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- Book:Agile Machine Learning with DataRobot: Automate each step of the machine learning life cycle, from understanding problems to delivering value
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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
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
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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Automate each step of the machine learning life cycle, from understanding problems to delivering value
Bipin Chadha
Sylvester Juwe
BIRMINGHAMMUMBAI
Copyright 2021 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Publishing Product Manager: Sunith Shetty
Senior Editor: Mohammed Yusuf Imaratwale
Content Development Editor: Nazia Shaikh
Technical Editor: Devanshi Ayare
Copy Editor: Safis Editing
Project Coordinator: Aparna Ravikumar Nair
Proofreader: Safis Editing
Indexer: Hemangini Bari
Production Designer: Sinhayna Bais
First published: December 2021
Production reference: 1191121
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-80107-680-7
www.packt.com
This book is dedicated to my father Satdevraj Chadha and my wife Madhumita Chadha, who are the inspirations for this work Bipin Chadha
This book is dedicated to my family and close friends who constantly supported and encouraged me during this project - Sylvester Juwe
Bipin Chadha is a hands-on leader of data science teams who can find innovative solutions to complex problems. He creates systemic data-driven models that enable executives to understand how their business operates, analyze a broad range of scenarios and strategies, and understand the likely implications of decisions and events prior to implementing risky changes. His passion is to build data-driven cultures, develop effective teams, and drive organizations to grow and succeed.
Sylvester Juwe is a highly accomplished executive, with hands-on technical expertise in implementing complex big data and advanced analytics solutions, from conceptualization to the commercial impact. He is a well-versed leader who leverages sophisticated data capabilities, influences stakeholders, and creates a strong culture of governance and curiosity in solving complex business challenges, thereby creating a commercial impact.
Aman Sharma is a senior data scientist at DataRobot. Aman has a background in computer science and has worked in various industries as a full stack data scientist. He has extensive experience in demand forecasting, propensity, churn, credit risk, fraud, marketing attribution, and optimization use cases. He works at DataRobot, which is a leading end-to-end enterprise AI platform.
DataRobot enables data science teams to become more efficient and productive. This book helps you address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly generate 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 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
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