May 2022
Beginner to intermediate
330 pages
7h 19m
English
Content preview from Building Data Science Solutions with Anaconda
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Chapter 1: Understanding the AI/ML landscape
In this opening chapter, we'll give you a little appreciation and context to the why behind AI and machine learning (ML). The only data we have comes from the past, and using that will help us predict the future. We'll take a look at the massive amount of data that is coming into the world today and try to get a sense of the scale of what we have to work with.
The main goal of any type of software or algorithm is to solve business and real-world problems, so we'll also take a look at how the applications take shape. If we use a food analogy, data would be the ingredients, the algorithm would be the chef, and the meal created would be the model. You'll learn about the most commonly used types of models ...
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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.