Gouda Friends

Two high school BFFs reunite and endeavor to fix each other's lives in this geeky romance from the author of Love, Comment, Subscribe. Tam Doan dumped her boyfriend after he threw away her gourmet cheese. Sure, it's a little more complicated than that, but the point is, he had it coming. Newly single and unemployed, Tam calls up her best friend from high school and utters the emergency code word--goldfish. Next thing she knows, she's on a plane back home. Josh O'Malley was a troubled, unconfident teenager. Now he's the successful owner of a multimillion-dollar ghost kitchen. Tam, his high school BFF and fellow member of the Nerd Herd friend group, was instrumental in building his self-esteem. When she calls him out of the blue, he jumps at the chance to return the favor. Josh and Tam immediately get to work fixing her life--but again, it's complicated. Their close friendship was always a lifeline between them; a blooming romance might confuse things. Still, at least one thing is for certain: their chemistry is un-brie-lievable.

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.

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.

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

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