Tag: Machine Theory

Artificial Intelligence: Models, Algorithms and Applications Front Cover

Artificial Intelligence: Models, Algorithms and Applications

  • Length: 175 pages
  • Publication Date: 2021-05-31
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Machine Translation and Transliteration involving Related, Low-resource Languages Front Cover

Machine Translation and Transliteration involving Related, Low-resource Languages

  • Length: 220 pages
  • Publication Date: 2021-09-08
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Linear Models with Python Front Cover

Linear Models with Python

  • Length: 308 pages
  • Publication Date: 2020-12-28
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Machine Learning For Beginners: A Comprehensive Guide To Understand Machine Learning. How It Works And How Is Correlated To Artificial Intelligence And Deep Learning Front Cover

Machine Learning For Beginners: A Comprehensive Guide To Understand Machine Learning. How It Works And How Is Correlated To Artificial Intelligence And Deep Learning

  • Length: 188 pages
  • Publication Date: 2020-12-27
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Smart Systems Design, Applications, and Challenges Front Cover

Smart Systems Design, Applications, and Challenges

  • Length: 488 pages
  • Publication Date: 2020-02-03
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QUANTUM PHYSICS WITH PYTHON: Step by step guide to master machine learning and computer programming. Learn the deepest secrets of the law of attraction and Q mechanics Front Cover

QUANTUM PHYSICS WITH PYTHON: Step by step guide to master machine learning and computer programming. Learn the deepest secrets of the law of attraction and Q mechanics

  • Publication Date: 2021-05-24
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Tensorflow And Pytorch Basics: For Absolute Beginners Front Cover

Tensorflow And Pytorch Basics: For Absolute Beginners

  • Length: 152 pages
  • Publication Date: 2021-05-20
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Automated Machine Learning with AutoKeras: Deep learning made accessible for everyone with just few lines of coding Front Cover

Automated Machine Learning with AutoKeras: Deep learning made accessible for everyone with just few lines of coding

  • Length: 194 pages
  • Publication Date: 2021-05-21
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Angular and Deep Learning Pocket Primer Front Cover

Angular and Deep Learning Pocket Primer

  • Length: 342 pages
  • Publication Date: 2020-11-30
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Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand Front Cover

Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand

  • Length: 336 pages
  • Publication Date: 2021-06-08
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PyTorch Pocket Reference: Building and Deploying Deep Learning Models Front Cover

PyTorch Pocket Reference: Building and Deploying Deep Learning Models

  • Length: 310 pages
  • Publication Date: 2021-06-08
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Deep Learning including Keras: Beginner’s Guide to Studying with Keras Front Cover

Deep Learning including Keras: Beginner’s Guide to Studying with Keras

  • Length: 77 pages
  • Publication Date: 2021-05-04
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