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Problem statement optimization is the process of finding the right balance between the cost of understanding the problem and the cost of making future mistakes. The cost of understanding the big data problem includes the time and resources it takes to understand how exactly the size of the data is challenging you, and that empowers you to be able to find the right solution for your big data problem. The cost of making future mistakes includes the cost of fixing mistakes in the model, the cost of lost opportunities, and the cost of damage to your reputation.
The book comprises five chapters covering various aspects of Big Data preparation, including
Understanding Big Data Problems
Cross-Industry Standard Process for Data Mining (CRISP-DM)
Data Solution Life Cycle (DSLC)
Types of Data Manipulations
Recognizing the Right Data-Prep Problem.
This book is a valuable resource for anyone who wants to use big data to solve problems. Whether you are a data scientist, analyst, or business professional, this book will help you get the most out of big data.
Here are some additional benefits of reading this book:
You will learn how to use big data to solve real-world problems.
You will develop the skills you need to be successful in the world of big data.
You will gain a deeper understanding
If you are serious about using big data, then this book is a must-read.
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I am a learner, educator, researcher, and developer of Data Analytics and Data Science. I enjoy the creation of instructional content that is engaging and challenging. In my books and the educational videos that I create, I bring together my research and teaching experiences on top of my hands-on learning to create content that adds value to the audience. I am also a Pricing Scientist at Ingram Micro and an Adjust Faculty of Business Analytics at the University of Redlands. You can learn more about me, my research and teaching, and the list of my instructional videos by visiting my website at https://roy-jafari.com
