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Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow 1st Edition, Kindle Edition
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.
- 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
- Best Sellers Rank: 375,617 in Kindle Store (See Top 100 in Kindle Store)
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The explanations are very clear, in plain English, with sufficient depth to know what you are talking about, but always cristal clear.
I was quite surprised to read this book straight to the end within a week, like a novel book. Now it is time to practice the code.