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Building Data Science Solutions with Anaconda

You're reading from   Building Data Science Solutions with Anaconda A comprehensive starter guide to building robust and complete models

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781800568785
Length 330 pages
Edition 1st Edition
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Author (1):
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Dan Meador Dan Meador
Author Profile Icon Dan Meador
Dan Meador
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Table of Contents (16) Chapters Close

Preface 1. Part 1: The Data Science Landscape – Open Source to the Rescue
2. Chapter 1: Understanding the AI/ML landscape FREE CHAPTER 3. Chapter 2: Analyzing Open Source Software 4. Chapter 3: Using the Anaconda Distribution to Manage Packages 5. Chapter 4: Working with Jupyter Notebooks and NumPy 6. Part 2: Data Is the New Oil, Models Are the New Refineries
7. Chapter 5: Cleaning and Visualizing Data 8. Chapter 6: Overcoming Bias in AI/ML 9. Chapter 7: Choosing the Best AI Algorithm 10. Chapter 8: Dealing with Common Data Problems 11. Part 3: Practical Examples and Applications
12. Chapter 9: Building a Regression Model with scikit-learn 13. Chapter 10: Explainable AI - Using LIME and SHAP 14. Chapter 11: Tuning Hyperparameters and Versioning Your Model 15. Other Books You May Enjoy

Understanding open source

Getting a fundamental view of this term you have heard or will hear all the time is critical. It will let you keep a clear picture in your head of how to navigate the differences of what is currently out there and ensure that you are able to pick and choose what tools you need to do your job. In this section, you'll learn what open source software (or OSS for short) means.

Free as in free speech, not free beer – this is a phrase used to describe the free part of open source. Free in this sense is used not to mean something that you can use and consume as much as you want with nothing in return; it's more the idea and concept that there should be an open exchange of ideas. Just like free speech, there are limits around what you can and can't say and do unless you want legal ramifications. This distinction will become clearer as we continue through the chapter.

In short, OSS is software that is free to be used, modified, and shared...

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