Tag: Machine Theory

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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Introduction To Python (The Complete MBA CourseWork Series Book 19) Front Cover

Introduction To Python (The Complete MBA CourseWork Series Book 19)

  • Length: 109 pages
  • Publication Date: 2021-04-23
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Machine Learning and Deep Learning in Real-Time Applications Front Cover

Machine Learning and Deep Learning in Real-Time Applications

  • Length: 344 pages
  • Publication Date: 2020-04-24
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Machine Learning Automation with TPOT: Build, validate, and deploy fully automated machine learning models with Python Front Cover

Machine Learning Automation with TPOT: Build, validate, and deploy fully automated machine learning models with Python

  • Length: 270 pages
  • Publication Date: 2021-05-07
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Deep Learning Techniques and Optimization Strategies in Big Data Analytics Front Cover

Deep Learning Techniques and Optimization Strategies in Big Data Analytics

  • Length: 388 pages
  • Publication Date: 2019-10-14
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Automated Machine Learning with Microsoft Azure: Build highly accurate and scalable end-to-end AI solutions with Azure AutoML Front Cover

Automated Machine Learning with Microsoft Azure: Build highly accurate and scalable end-to-end AI solutions with Azure AutoML

  • Length: 340 pages
  • Publication Date: 2021-04-23
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Back Exercise: Stabilize, Mobilize, and Reduce Pain Front Cover

Back Exercise: Stabilize, Mobilize, and Reduce Pain

  • Length: 200 pages
  • Publication Date: 2021-12-21
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