March 2019
Beginner to intermediate
464 pages
10h 57m
English
Content preview from Hands-On Data Science for Marketing
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Challenges in data
One of the most challenging factors in using data science and machine learning for marketing is getting the right data. As may sound obvious to you, without data, there is no data science or machine learning. Moreover, if the quality of the data is not good, then the quality of your trained machine learning is also going to be bad.
In this section, we are going to discuss some of the common challenges that many data scientists face in getting the right data:
- Existence of data: Sometimes you may come up with a great idea of applying data science techniques to solve one of the problems you have in marketing. However, the data you need might not even exist. For example, say your idea was to identify trending web content, ...
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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.