Davor Lozić is a university lecturer living in Croatia. He likes working on algorithmic/mathematical problems, and reviewing books for Packt makes him read new IT books. He has also worked on Data Analysis with R – Second Edition; Mastering Predictive Analytics with R, Second Edition; R Data Analysis Cookbook, Second Edition; R Deep Learning Projects; Mastering Linux Network Administration; R Machine Learning Projects; Learning Ext JS, Fourth Edition; and R Statistics Cookbook. Davor is a meme master and an Uno master, and he likes cats.

Dr. Ashwin Nanjappa works at NVIDIA on deep learning inference acceleration on GPUs. He has a Ph.D. from the National University of Singapore, where he invented the fastest 3D Delaunay computational geometry algorithms for GPUs. He was a postdoctoral research fellow at the BioInformatics Institute (Singapore), inventing machine learning algorithms for hand and rodent pose estimation using depth cameras. He also worked at Visenze (Singapore) developing computer vision deep learning models for the largest e-commerce portals in the world. He is a published author of two books: Caffe2 Quick Start Guide and Instant GLEW.

Ryan Riley has been involved in the futures and derivatives industry for almost 20 years. He received a bachelor's degree and a master's degree from DePaul University in applied statistics. Doing his coursework in math meant that he had to teach himself how to program, forcing him to read more technical books on programming than he would otherwise have done. Ryan has worked with numerous AI libraries in various languages and is currently using the Caffe2 C++ library to develop and implement futures and derivatives trading strategies at PNT Financial.