Tag: Intelligence & Semantics

Hands-On Deep Learning Architectures with Python Front Cover

Hands-On Deep Learning Architectures with Python

  • Length: 316 pages
  • Publication Date: 2019-04-30
0
0 ratings
Internet of Things and Big Data Applications: Recent Advances and Challenges Front Cover

Internet of Things and Big Data Applications: Recent Advances and Challenges

  • Length: 270 pages
  • Publication Date: 2020-05-25
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Artificial Intelligence: Anthropogenic Nature vs. Social Origin Front Cover

Artificial Intelligence: Anthropogenic Nature vs. Social Origin

  • Length: 878 pages
  • Publication Date: 2020-04-21
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Deep Learning with JavaScript: Neural networks in TensorFlow.js Front Cover

Deep Learning with JavaScript: Neural networks in TensorFlow.js

  • Length: 350 pages
  • Publication Date: 2020-01-14
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Artificial Intelligence for business Front Cover

Artificial Intelligence for business

  • Length: 100 pages
  • Publication Date: 2020-01-20
4.6
29 ratings
Applied Supervised Learning with R Front Cover

Applied Supervised Learning with R

  • Length: 502 pages
  • Publication Date: 2019-05-31
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0 ratings
Hands-On Deep Learning for IoT Front Cover

Hands-On Deep Learning for IoT

  • Length: 308 pages
  • Publication Date: 2019-06-27
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Feature Engineering and Selection: A Practical Approach for Predictive Models Front Cover

Feature Engineering and Selection: A Practical Approach for Predictive Models

  • Length: 310 pages
  • Publication Date: 2019-08-02
4.6
3 ratings
Mastering Machine Learning on AWS Front Cover

Mastering Machine Learning on AWS

  • Length: 306 pages
  • Publication Date: 2019-05-20
5.0
1 ratings
Deep Learning Architectures: A Mathematical Approach Front Cover

Deep Learning Architectures: A Mathematical Approach

  • Length: 761 pages
  • Publication Date: 2020-05-07
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0 ratings
Information and Communication Front Cover

Information and Communication

  • Length: 180 pages
  • Publication Date: 2019-01-28
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0 ratings
Practical MATLAB Deep Learning: A Project-Based Approach Front Cover

Practical MATLAB Deep Learning: A Project-Based Approach

  • Length: 252 pages
  • Publication Date: 2020-03-29
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0 ratings