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Building Recommendation Systems in Python and JAX: Hands-on Production Systems at Scale free ebook download

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Python

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Author(s):	Bryan Bischof, Hector Yee

Date:	2024	Format:	pdf,epub	Language:	English	ISBN/ASIN:	1492097993
Pages:	400	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	1/29/2024 6:17:47 AM

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1492097993 pdf,epub
Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available. Whether you want customers to find the most appealing items at your online store, videos to enrich and entertain them, or news they need to know, recommendation systems (RecSys) provide the way.

In this practical book, authors Bryan Bischof and Hector Yee illustrate the core concepts and examples to help you create a RecSys for any industry or scale. You'll learn the math, ideas, and implementation details you need to succeed. This book includes the RecSys platform components, relevant MLOps tools in your stack, plus code examples and helpful suggestions in PySpark, SparkSQL, FastAPI, and Weights & Biases.

You'll learn:

The data essential for building a RecSys
How to frame your data and business as a RecSys problem
Ways to evaluate models appropriate for your system
Methods to implement, train, test, and deploy the model you choose
Metrics you need to track to ensure your system is working as planned
How to improve your system as you learn more about your users, products, and business case

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3229882	Book	https://nitroflare.com/view/C53564D248C5...		18.00	eternal

Tags: Building Hands-on Production Python Recommendation Scale Systems Systems

Title	Link	Password	Size	Reason

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Building Recommendation Systems in Python and JAX: Hands-on Production Systems at Scale free ebook download

Category: Python

Description: Click to see full description

Category:
Python