August 2023
Intermediate to advanced
462 pages
11h 20m
English
Content preview from Machine Learning Engineering with Python - Second Edition
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Preface
”Software is eating the world, but AI is going to eat software.”
— Jensen Huang, CEO of Nvidia
Machine learning (ML), part of the wider field of Artificial Intelligence (AI), is rightfully recognized as one of the most powerful tools available for organizations to extract value from their data. As the capabilities of ML algorithms have grown over the years, it has become increasingly obvious that implementing such algorithms in a scalable, fault-tolerant, and automated way requires the creation of new disciplines. These disciplines, ML Engineering (MLE) and ML Operations (MLOps), are the focus of this book.
The book covers a wide variety of topics in order to help you understand the tools, techniques, and processes you can apply to ...
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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.