December 2024
Intermediate to advanced
192 pages
5h 49m
English
Content preview from Exam Ref DP-100 Designing and Implementing a Data Science Solution on Azure
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Chapter 3
Prepare a model for deployment
While you read through this chapter, remember that exploring data and training models are iterative processes. With each iteration, you’ll gain deeper insights into your data and refine your models for better accuracy and performance. After acquiring the three skills in this chapter, you will be able to combine them to build training pipelines using automated machine learning and tune hyperparameters to iteratively improve the model performance using Azure Machine Learning (Azure ML).
Skills covered in this chapter:
Skill 3.1: Run model training scripts
When we write code, ...
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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.