Edward Raff

Edward Raff, PhD, is a chief scientist at Booz Allen Hamilton, where he co-leads the machine learning research team in the Strategic Innovation Group. His work involves supervising internal research, recruiting and developing technical talent, collaborating with university partners, and business development specialized to high-end machine learning. Dr. Raff also assists several clients in conducting advanced research.

His enthusiasm for writing, developing, and teaching machine learning evolved from a desire to share his passion for any and all areas of machine learning. He is the author of the Java Statistical Analysis Tool (JSAT), a library for fast ML in Java. He currently supervises five Ph.D. students and has over 60 publications with three best-paper awards.

books & videos by Edward Raff

Playing with GANS: Building, coding, and modifying deep learning GAN models
  • Course duration: 1h 39m
Included with a Manning Online subscription

What are Generative Adversarial Networks (GANs); learn how to play with them by modifying a GAN implementation for new tasks and losses.

Inside Deep Learning
  • April 2022
  • ISBN 9781617298639
  • 600 pages
Included with a Manning Online subscription
  • printed in color
catalog / Data Science / Deep Learning
resources: Source code Errata Book Forum Source code on GitHub 🎙️ Expert Interview ~ Edward Raff ~ Inside Deep Learning 🎙️ ML 023: Inside Machine Learning with Edward Raff 🎙️ Can Machine Learning Keep Your Computer Safe? (Edward Raff) KNN Ep. 47 Register your pBook for a free eBook

Inside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machine learning novices can understand. You’ll explore deep learning concepts and tools through plain language explanations, annotated code, and dozens of instantly useful PyTorch examples. Each type of neural network is clearly presented without complex math, and every solution in this book can run using readily available GPU hardware!