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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 the top four OSS licenses

OSS is copyrighted and there are restrictions around it, they just tend to be much less strict than the IP laws that were so much more common before the turn of the century. There is a good chance that, at some point, you have heard terms such as MIT licenses, GPL, and others. While these might just sound like legal speak no one cares about, there is a huge need to become familiar with things at a high level for the following reasons:

  • If you put something in your company's code base that is sold, you might have to make that software open source.
  • Your personal project might be something you would rather be kept secret or proprietary.
  • You might want to make money off your project in the future.

You should keep these in mind as you are making the decision to use certain packages as once you are using those tools in your software, the only choice you will have in the future to not be held to those licenses' restrictions...

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