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Principles Of Machine Geology : Machine Learning Generated Literature

Independently published
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9781795015097
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ISBN13:
9781795015097
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What does it look like when you combine machine learning and a famous geological literary work? Based on Charles Lyell's 'Principals of Geology' or, The Modern Changes of the Earth and its Inhabitants Considered as Illustrative of Geology, and using a Recurrent Neural Network we have created 'Principals of Machine Geology'. Here is short excerpt "Erratics. -- The next phenomenon ocean, which teem with life, may be said to have been the feeders of lateral cones, or, in other predaceous fish, such as were those of which we find the teeth preserved in some of the order of the ocean, to strip off superior strata, and lay the same kinds of rock have occasionally been reproduced at successive period." Buy it as a novelty gift for your geologist friend who is interested in machine learning, or even for your own coffee table.


  • | Author: Hilary Goh
  • | Publisher: Independently Published
  • | Publication Date: Jan 25, 2019
  • | Number of Pages: 26 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 1795015098
  • | ISBN-13: 9781795015097
Author:
Hilary Goh
Publisher:
Independently Published
Publication Date:
Jan 25, 2019
Number of pages:
26 pages
Language:
English
Binding:
Paperback
ISBN-10:
1795015098
ISBN-13:
9781795015097