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AI & Data Literacy

AI & Data Literacy

By : Bill Schmarzo
4.8 (25)
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AI & Data Literacy

AI & Data Literacy

4.8 (25)
By: Bill Schmarzo

Overview of this book

AI is undoubtedly a game-changing tool with immense potential to improve human life. This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape. We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions. Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed. Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.
Table of Contents (14 chapters)
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12
Other Books You May Enjoy
13
Index

Human decision-making traps

The human brain is a poor decision-making tool. Through evolution, the human brain became very good at pattern recognition and extrapolation: from “That looks just a harmless log behind that patch of grass” to “Yum, that looks like an antelope!” to “YIKES, that’s actually a saber-toothed tiger.” Human survival depended upon our ability to recognize patterns and making quick, survival decisions based on those patterns.

Figure 5.1: Humans have become good at recognizing patterns

While great at pattern recognition, unfortunately, humans are lousy number crunchers. Because of our instinctive poor number crunching capabilities, humans depended upon heuristics, gut feel, rules of thumb, anecdotal information, and intuition as decision-making tools. But these decision models are insufficient in a real-time world where the volume, variety, and velocity of data are exploding. One only needs to travel to Las Vegas and...

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