Hands-On Deep Learning with Apache Spark

Hands-On Deep Learning with Apache Spark

by Guglielmo Iozzia


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Product Details

ISBN-13: 9781788994613
Publisher: Packt Publishing
Publication date: 01/31/2019
Pages: 322
Product dimensions: 7.50(w) x 9.25(h) x 0.67(d)

About the Author

Guglielmo Iozzia is currently a Big Data Delivery Manager at Optum in Dublin (Ireland).

He completed his Masters' Degree in Biomedical Engineering at the University of Bologna (Italy). For his final year engineering project, he designed and implemented a diagnostic system to predict the behaviour of the intracranial pressure on patients in neurosurgery intensive care. The project was part of a bigger one in a collaboration between the DEIS (Department of Engineering, Information and Systems) of the University of Bologna and the Policlinico Hospital of Milan and it was carried out using real patients' data.

After his graduation, he joined a newborn IT company in Bologna which had implemented a new system to manage online payments. The company grew rapidly and expanded its business on different sectors (banking, manufacturing, public administration), so he had a chance to work on complex Java projects for different customers in different areas. Among these projects, GDPM deserves special mention. It is a predictive maintenance system for the machinery produced by the G.D group. Guglielmo was an active part of the initial design and first implementation and release to production.

6 years later he moved to Rome where after a short experience as a consultant in IFAD, he moved to RAI Net (RAI Television group, before joining the IT department of FAO, an agency of the United Nations, for more than 5 years.

In 2013 he had a chance to join IBM in Dublin. There he improved his DevOps skills working mostly on cloud-based applications and the opportunity to move to Big Data and Machine Learning applied to Operations first and Cybersecurity then.

At the end of September 2016 he moved to Optum (which is part of the UnitedHealth Group), the healthcare IT company he works for at present time. He and his teams are involved in Big Data and Analytics projects mostly in the Payment Integrity space, in particular in the Fraud, Waste and Abuse detection and prevention.

He is a golden member and writes articles at DZone and maintains a personal blog to share his finding and thoughts about different tech topics (Java, Scala, Big Data, AI, DevOps, Open Source).

Table of Contents

Table of Contents

  1. The Apache Spark Ecosystem
  2. Deep Learning Basics
  3. Extract, Transform, Load
  4. Streaming
  5. Convolutional Neural Networks
  6. Recurrent Neural Networks
  7. Training Neural Networks with Spark
  8. Monitoring and Debugging Neural Network Training
  9. Interpreting Neural Network Output
  10. Deploying on a Distributed System
  11. NLP Basics
  12. Textual Analysis and Deep Learning
  13. Convolution
  14. Image Classification
  15. What’s Next for Deep Learning?

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