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Publisher : O’Reilly Media; 1st edition (January 30, 2024)
Language : English
Paperback : 400 pages
ISBN-10 : 1492097993
ISBN-13 : 978-1492097990
Item Weight : 1.24 pounds
Dimensions : 7 x 0.74 x 9.19 inches
If you are interested in learning how to build powerful recommendation systems in Python and JAX, then this post is for you. In this hands-on guide, we will walk you through the process of building recommendation systems that can handle large-scale production systems.
We will start by introducing you to the basics of recommendation systems and how they work. Then, we will dive into the world of Python and JAX, two powerful programming languages that are widely used in building recommendation systems.
Next, we will show you how to build recommendation systems from scratch using Python and JAX. We will cover topics such as data preprocessing, model building, and evaluation techniques.
Finally, we will explore how to deploy recommendation systems in production environments and scale them to handle large amounts of data. We will discuss best practices for building robust and efficient recommendation systems that can handle real-world use cases.
By the end of this post, you will have a solid understanding of how to build recommendation systems in Python and JAX, and be ready to tackle your own production systems at scale. So, let’s get started!
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