May 2025
Beginner
178 pages
4h 50m
English
Content preview from Data Science Foundations
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10 MODEL SELECTION
WHICH MODEL TO USE?
Data science is a transformative field that combines statistics, computer science and domain expertise to derive actionable insights from data. This chapter delves into the core concepts and methodologies of data science, such as hypothesis testing, statistical measures, predictive modelling and various analytical techniques, enriched with practical business examples to illustrate their applications. There are lots of potentially confusing terms to decipher when we start talking about statistical techniques, so we will attempt to give you a ‘fact sheet’ on each one, linking into examples of how it can be used.
This book is not intended to teach you the ins and outs of statistical formulae – it is much ...
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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.