No Place but UP!

No Place but UP!
Author: Lance Fox
Publisher: Lulu.com
Total Pages: 266
Release: 2012-06-01
Genre: Biography & Autobiography
ISBN: 1105682900

This is Wisconsin veterinarian Lance Fox's account of his Mount Everest expedition in 2009. He pursued his dream to stand on the top of the world, honoring his late father and giving back to the Sherpa culture.

Journeys with Jesus

Journeys with Jesus
Author: Lois Keffer
Publisher: David C Cook
Total Pages: 334
Release: 2004
Genre:
ISBN: 9780781440806

13-week, multiage summer program allows kids to journey to the Holy Land, meeting the people Jesus met and seeing the difference Jesus made in their lives.

The Cloister and the Hearth

The Cloister and the Hearth
Author: Charles Reade
Publisher:
Total Pages: 748
Release: 1902
Genre: Europe
ISBN:

Historical novel depicting life in Europe during the 15th century. The interest centers in the love story of Erasmus's parents.

Building Recommendation Systems in Python and JAX

Building Recommendation Systems in Python and JAX
Author: Bryan Bischof Ph.D
Publisher: "O'Reilly Media, Inc."
Total Pages: 296
Release: 2023-12-04
Genre: Computers
ISBN: 1492097950

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