May 2020
Intermediate to advanced
404 pages
10h 52m
English
Content preview from Hands-On Python Deep Learning for the Web
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Bias and variance
Bias and variance are very intrinsic to any ML model. Having a good understanding of them really helps in the further assessment of the models. The trade-off between the two is actually used by the practitioners to assess the performance of machine learning systems.
You are encouraged to see this lecture by Andrew Ng to learn more about this trade-off, at https://www.youtube.com/watch?v=fDQkUN9yw44&t=293s.
Bias is the set of assumptions that an ML algorithm makes to learn the representations underlying the given data. When the bias is high, it means that the corresponding algorithm is making more assumptions about the data and in the case of low bias, an algorithm makes as little an amount of assumptions as possible. An ...
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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.