#111 Machine Learning with TensorFlow with Chris Mattmann – Author / Manager, Chief Technology and Innovation Officer

Chris Mattmann is the Deputy Chief Technology and Innovation Officer at NASA Jet Propulsion Lab, where he has been recognised as JPL's first Principal Scientist in the area of Data Science. Chris has applied TensorFlow to challenges he’s faced at NASA, including building an implementation of Google’s Show & Tell algorithm for image captioning using TensorFlow. He contributes to open source as a former Director at the Apache Software Foundation, and teaches graduate courses at USC in Content Detection and Analysis, and in Search Engines and Information Retrieval.

Enjoy the show!

We speak about:

[00:30] About Chris Mattmann
[02:30] How Chris started in the data space
[08:15] The transition to management
[10:00] How does IT navigate different life cycles of people?
[12:35] What’s an example of a bottom-up project?
[15:10] How have you seen the importance of machine learning rise?
[17:20] Do you have large amounts of data?
[21:25] What are the hardware challenges of space?
[24:45] About Machine Learning with TensorFlow, Second Edition
[30:00] About the Hidden Markov model
[34:10] What kept you going through the first edition?
[35:40] Why is TensorFlow your favorite framework?
[39:00] How do you find time to write?
[39:30] What other activities do you do for the community?
[41:20] What are you working on at the moment?

Resources:

Chris’s LinkedIn: https://www.linkedin.com/in/chrismattmann/

NASA Jet Propulsion Laboratory on LinkedIn: https://www.linkedin.com/company/jet-propulsion-laboratory/

Chris’s Twitter: https://twitter.com/chrismattmann

Machine Learning with TensorFlow, Second Edition (For 40% off use code poddatafuturology19).

Check out other books from Manning Publications, use code poddatafuturology19 for a 40% discount.

Quotes:

“TensorFlow is everything you need to know about machine learning.”

“The thing that kept me going was the realization that AI was the future.”

“Python is the data science framework nowadays.”

“I see the future.”

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