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Building Data Science Solutions with Anaconda

Building Data Science Solutions with Anaconda

By : Meador
5 (12)
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Building Data Science Solutions with Anaconda

Building Data Science Solutions with Anaconda

5 (12)
By: Meador

Overview of this book

You might already know that there's a wealth of data science and machine learning resources available on the market, but what you might not know is how much is left out by most of these AI resources. This book not only covers everything you need to know about algorithm families but also ensures that you become an expert in everything, from the critical aspects of avoiding bias in data to model interpretability, which have now become must-have skills. In this book, you'll learn how using Anaconda as the easy button, can give you a complete view of the capabilities of tools such as conda, which includes how to specify new channels to pull in any package you want as well as discovering new open source tools at your disposal. You’ll also get a clear picture of how to evaluate which model to train and identify when they have become unusable due to drift. Finally, you’ll learn about the powerful yet simple techniques that you can use to explain how your model works. By the end of this book, you’ll feel confident using conda and Anaconda Navigator to manage dependencies and gain a thorough understanding of the end-to-end data science workflow.
Table of Contents (16 chapters)
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1
Part 1: The Data Science Landscape – Open Source to the Rescue
6
Part 2: Data Is the New Oil, Models Are the New Refineries
11
Part 3: Practical Examples and Applications

Summary

By now you've seen how you can create environments with the command line with conda, as well as employing a more visual approach with Navigator. You have an understanding of what dependency management looks like and why it's important to take into account different transitive dependencies and their versions.

You've seen how easy and simple it can be to upload and enable the sharing of your environments so that others can benefit from them.

In addition, we've wrapped up the three pillars of conda by looking at channels and how conda makes use of many different sources for the packages it needs. We've touched on conda-forge as one of those locations.

Much of what you have learned in this chapter will prove to be invaluable in your everyday work and I encourage you to reference the conda cheat sheet here until you no longer need it. You'll be using some commands so often that it won't take long.

Now that we know the Anaconda tools...

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