Chris Mattmann

CHRIS MATTMANN has a wealth of experience in software design and in the construction of large-scale data-intensive systems. His work has infected a broad set of communities, ranging from helping NASA unlock data from its next generation of Earth science system satellites, to assisting graduate students at the University of Southern California (his alma mater) in the study of software architecture, all the way to helping industry and open source as a member of the Apache Software Foundation. When he’s not busy being busy, he’s spending time with his lovely wife and son braving the mean streets of Southern California.

books by Chris Mattmann

Machine Learning with TensorFlow, Second Edition

  • December 2020
  • ISBN 9781617297717
  • 456 pages
  • printed in black & white
  • Available translations: Simplified Chinese

Machine Learning with TensorFlow, Second Edition is a fully revised guide to building machine learning models using Python and TensorFlow. You’ll apply core ML concepts to real-world challenges, such as sentiment analysis, text classification, and image recognition. Hands-on examples illustrate neural network techniques for deep speech processing, facial identification, and auto-encoding with CIFAR-10.

Tika in Action

  • November 2011
  • ISBN 9781935182856
  • 256 pages
  • printed in black & white

Tika in Action is the ultimate guide to content mining using Apache Tika. You'll learn how to pull usable information from otherwise inaccessible sources, including internet media and file archives. This example-rich book teaches you to build and extend applications based on real-world experience with search engines, digital asset management, and scientific data processing. In addition to architectural overviews, you'll find detailed chapters on features like metadata extraction, automatic language detection, and custom parser development.