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Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow by [Hannes Hapke, Catherine Nelson]

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Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow 1st Edition, Kindle Edition

4.3 out of 5 stars 35 ratings

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About the Author

Hannes Hapke is a VP of Engineering at Caravel, a machine learning company providing novel personalization products for the retail industry. Prior to joining Caravel, Hannes was a Ssenior data science engineer at Cambia Health Solutions, a health solutions provider for 2.6 million people and a machine learning engineer at Talentpair, Inc., where he developed novel deep learning model for recruiting companies. Hannes cofounded a renewable energy startup which applied deep learning to detect homes would be optimal candidates for solar power.Additionally, Hannes has coauthored a publication about natural language processing and deep learning and presented at various conferences about deep learning and Python.



Catherine Nelson is a senior data scientist for Concur Labs at SAP Concur, where she explores innovative ways to use machine learning to improve the experience of a business traveller. She is particularly interested in privacy-preserving ML and applying deep learning to enterprise data. In her previous career as a geophysicist she studied ancient volcanoes and explored for oil in Greenland. Catherine has a PhD in geophysics from Durham University and a Masters of Earth Sciences from Oxford University.

--This text refers to the paperback edition.

Product details

  • ASIN ‏ : ‎ B08CXDBWTX
  • Publisher ‏ : ‎ O'Reilly Media; 1st edition (13 July 2020)
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 14076 KB
  • Simultaneous device usage ‏ : ‎ Unlimited
  • Text-to-Speech ‏ : ‎ Enabled
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 437 pages
  • Customer Reviews:
    4.3 out of 5 stars 35 ratings

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