January 2018
Beginner to intermediate
316 pages
7h 14m
English
Content preview from Feature Engineering Made Easy
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Introduction to Feature Engineering
In recent years, engineers and executives have been attempting to implement machine learning (ML) and artificial intelligence (AI) to solve problems that, for the most part, have been solved using fairly manual methodologies. A great example would have to be advancements in natural language processing (NLP) and more specifically in natural language generation and understanding. Even more specifically, we point to AI systems that are able to read in raw text from a user (perhaps a disgruntled user of the latest smartphone) and can articulately and accurately respond with the prose of a human and the speed of a machine. In this chapter, we will be introducing topics of feature engineering, such as:
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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.