The Next Track
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The Next Track
Author: Liza Malloy
language: en
Publisher: Teal Street Publishing
Release Date: 2020-12-01
Her love would tear the brothers apart, but could a child bring them all together? Five years ago, Lily Mitchell walked away from the love of her life…and his brother. Though Lily broke her number one rule when she dated Dylan Parker, she’s determined that her daughter won’t pay for her mistakes. But now that she’s back, can Lily resist the lure of the Parker brothers? Dylan spent years exacting revenge for his brother’s betrayal, yet Thomas can’t dwell on whether his punishment truly fit the crime. Instead, he’s reveling in the knowledge that he has a daughter. Thomas is determined to convince Lily that they are meant to be together. He’s willing to risk destroying his relationship with his brother for another chance with the woman who haunted his dreams for the last five years. The Next Track picks up where The Brothers’ Band left off, promising readers a riveting ride to the emotionally satisfying happy ever after for their favorite memorable characters.
Building Recommendation Systems in Python and JAX
Author: Bryan Bischof Ph.D
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2023-12-04
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
Multi-Sensor Data Fusion with MATLAB
Using MATLAB examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly