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Building Data Science Solutions with Anaconda

You're reading from  Building Data Science Solutions with Anaconda

Product type Book
Published in May 2022
Publisher Packt
ISBN-13 9781800568785
Pages 330 pages
Edition 1st Edition
Languages
Author (1):
Dan Meador Dan Meador
Profile icon Dan Meador

Table of Contents (16) Chapters

Preface 1. Part 1: The Data Science Landscape – Open Source to the Rescue
2. Chapter 1: Understanding the AI/ML landscape 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

Who this book is for

This book is for anyone that not only wants to better understand the world of data science but also those that have a decent grasp and want to become more well rounded in their knowledge on things such as Anaconda tools and Open Source Software (OSS). Assume that you don't have a grasp of areas such as bias or interpretability and that you still don't know all the various types of algorithms you can use to create AI/ML models. We've designed this book to be as self-contained as possible, so you'll only need outside resources when you want to go deeper.

Some basic technical knowledge is expected, but being a developer or even knowing much about data science is not a necessity. You can read this book from beginning to end, or you can jump to the chapters that seem most relevant to you. While each chapter does build on the previous ones, we have structured it in such a way that you won't be lost if you choose to navigate to a specific topic.

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