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You're reading from  Hands-On Data Preprocessing in Python

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Published inJan 2022
PublisherPackt
ISBN-139781801072137
Edition1st Edition
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Roy Jafari
Roy Jafari
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Roy Jafari

Roy Jafari, Ph.D. is an assistant professor of business analytics at the University of Redlands. Roy has taught and developed college-level courses that cover data cleaning, decision making, data science, machine learning, and optimization. Roy's style of teaching is hands-on and he believes the best way to learn is to learn by doing. He uses active learning teaching philosophy and readers will get to experience active learning in this book. Roy believes that successful data preprocessing only happens when you are equipped with the most efficient tools, have an appropriate understanding of data analytic goals, are aware of data preprocessing steps, and can compare a variety of methods. This belief has shaped the structure of this book.
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Errors

Errors are an inevitable part of any data collection and measurement. The following formula best captures this fact:

The True Signal is the reality we are trying to measure and present in the form of Data, but due to the incapability of our measurement system or data presentation, we cannot capture the True Signal. Therefore, Error is the difference between the True Signal and the recorded Data.

For instance, let's say we have purchased seven thermometers and we would like to accurately calculate the room temperature using these seven thermometers. At a given point in time, we take the following readings from them:

Figure 11.37 – Seven thermometers' readings

Looking at the preceding screenshot, what would you say the temperature of the room—the True Signal—is? The answer is that we cannot measure or capture the True Signal—in this case, the exact temperature of the room. With seven thermometers, we may...

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Hands-On Data Preprocessing in Python
Published in: Jan 2022Publisher: PacktISBN-13: 9781801072137

Author (1)

author image
Roy Jafari

Roy Jafari, Ph.D. is an assistant professor of business analytics at the University of Redlands. Roy has taught and developed college-level courses that cover data cleaning, decision making, data science, machine learning, and optimization. Roy's style of teaching is hands-on and he believes the best way to learn is to learn by doing. He uses active learning teaching philosophy and readers will get to experience active learning in this book. Roy believes that successful data preprocessing only happens when you are equipped with the most efficient tools, have an appropriate understanding of data analytic goals, are aware of data preprocessing steps, and can compare a variety of methods. This belief has shaped the structure of this book.
Read more about Roy Jafari