about the authors

Edward Raff is a Director of Emerging AI at Booz Allen Hamilton, where he leads the machine learning research team. He has worked in healthcare, natural language processing, computer vision, and cybersecurity, as well as fundamental AI/ML research. The author of Inside Deep Learning, Dr. Raff has over 100 published research articles at the top artificial intelligence conferences. He is the author of the Java Statistical Analysis Tool library, a Senior Member of the Association for the Advancement of Artificial Intelligence, and twice chaired the Conference on Applied Machine Learning and Information Technology and the AI for Cyber Security workshop. Dr. Raff’s work has been deployed and used by antivirus companies worldwide.

Drew Farris is a Principal at Booz Allen Hamilton. He specializes in artificial intelligence and machine learning, with over 14 years of experience building advanced analytics for public sector clients. Before joining Booz Allen, Drew worked with academic research teams and start-ups on information retrieval, natural language process-ing, and large-scale data management platforms. He hasco-authored several publications, including Booz Allen’s Field Guide to Data Science and Machine Intelligence Primer, and the Jolt Award-winning book Taming Text on computational text proc-essing. Drew is also a member of the Apache Software Foundation and has contribut-ed to open source projects like Apache Mahout, Lucene, and Solr.