July 2019
Beginner
314 pages
8h 15m
English
Content preview from AI for People and Business
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Chapter 4. AI and Machine Learning: A Nontechnical Overview
Although it is not necessary to be an expert or practitioner of AI in order to develop an AI vision and strategy, having a high-level understanding of AI and related subject matter areas is critical to making highly informed decisions. Helping you to develop this understanding is the goal of this chapter.
This chapter defines and discusses AI-related concepts and techniques, including machine learning, deep learning, data science, and big data. We also discuss how both humans and machines learn and how that is related to the current and future state of AI. We finish the chapter by covering how data powers AI and data characteristics and considerations necessary for AI success.
This chapter helps develop a level-appropriate context for understanding the next chapter on real-world opportunities and applications of AI. Let’s begin by discussing the field of data science.
What Is Data Science, and What Does a Data Scientist Do?
Let’s kick off the discussion by defining data science and the role and responsibilities of a data scientist, both of which describe the field and skills required to carry out AI and machine learning initiatives (note that more specialized roles are becoming more common, such as machine learning engineer). Even though data scientists often come from many different educational and work experience backgrounds, most should be strong (or, ideally, experts) in four fundamental areas that I call the four ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.