Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and Pytorch

Alla, Sridhar; Adari, Suman Kalyan

ISBN 10: 1484251768 / ISBN 13: 9781484251768

Verlag: Apress, 2019

Former library book; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 1.7. Bestandsnummer des Verkäufers G1484251768I5N10

Inhaltsangabe:

Beg-Int user level

Über die Autorin bzw. den Autor: Sridhar Alla is the co-founder and CTO of Bluewhale, which helps organizations big and small in building AI-driven big data solutions and analytics. He is a published author of books and an avid presenter at numerous Strata, Hadoop World, Spark Summit, and other conferences. He also has several patents filed with the US PTO on large-scale computing and distributed systems. He has extensive hands-on experience in several technologies, including Spark, Flink, Hadoop, AWS, Azure, Tensorflow, Cassandra, and others. He spoke on Anomaly Detection Using Deep Learning at Strata SFO in March 2019 and will also present at Strata London in October 2019. He was born in Hyderabad, India and now lives in New Jersey, USA with his wife Rosie and daughter Evelyn. When he is not busy writing code, he loves to spend time with his family and also training, coaching, and organizing meetups. 

Suman Kalyan Adari is an undergraduate student pursuing a BS degree in Computer Science at the University of Florida. He has been conducting deep learning research in the field of cybersecurity since his freshman year, and has presented at the IEEE Dependable Systems and Networks workshop on Dependable and Secure Machine Learning held in Portland, Oregon, USA in June 2019. He is quite passionate about deep learning, and specializes in its practical uses in various fields such as video processing, image recognition, anomaly detection, targeted adversarial attacks, and more. 

Bibliografische Details

Titel: Beginning Anomaly Detection Using ...
Verlag: Apress
Erscheinungsdatum: 2019
Einband: Paperback
Zustand: Fair
Zustand des Schutzumschlags: No Jacket