Machine Learning with Python Cookbook
Practical Solutions from Preprocessing to Deep Learning
$164.02
- Paperback
380 pages
- Release Date
31 October 2023
Summary
This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems, from loading data to training models and leveraging neural networks.
Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works. From there, yo…
Book Details
| ISBN-13: | 9781098135720 |
|---|---|
| ISBN-10: | 1098135725 |
| Author: | Kyle Gallatin, Chris Albon |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 380 |
| Edition: | 2nd |
| Release Date: | 31 October 2023 |
| Weight: | 736g |
| Dimensions: | 178mm x 233mm |
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Kyle Gallatin
Kyle Gallatin is a software engineer for machine learning infrastructure with years of experience as a data analyst, data scientist and machine learning engineer. He is also a professional data science mentor, volunteer computer science teacher and frequently publishes articles at the intersection of software engineering and machine learning. Currently, Kyle is a software engineer on the machine learning platform team at Etsy.
Chris Albon is the Director of Machine Learning at the Wikimedia Foundation, the non-profit that hosts Wikipedia.
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