November 2021
Intermediate to advanced
276 pages
5h 59m
English
Content preview from Machine Learning Engineering with Python
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Section 2: ML Development and Deployment
This section focuses on the technical details of developing your ML solutions, including examples of building your own training systems, coding your own ML wrapper libraries, designing your cloud-based architecture, and finally, scaling up your solutions to large organizational datasets. This section will also give you the knowledge you need to feel confident in building robust solutions that use machine learning to solve real-world problems.
This section comprises the following chapters:
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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.