Tag: Neural Networks

Explainable AI for Practitioners: Designing and Implementing Explainable ML Solutions Front Cover

Explainable AI for Practitioners: Designing and Implementing Explainable ML Solutions

  • Length: 276 pages
  • Publication Date: 2022-12-06
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What Is ChatGPT Doing … and Why Does It Work? Front Cover

What Is ChatGPT Doing … and Why Does It Work?

  • Length: 140 pages
  • Publication Date: 2023-03-10
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Exploring Deepfakes: Deploy powerful AI techniques for face replacement and more with this comprehensive guide Front Cover

Exploring Deepfakes: Deploy powerful AI techniques for face replacement and more with this comprehensive guide

  • Length: 192 pages
  • Publication Date: 2023-03-28
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Network Science with Python: Explore the networks around us using network science, social network analysis, and machine learning Front Cover

Network Science with Python: Explore the networks around us using network science, social network analysis, and machine learning

  • Length: 414 pages
  • Publication Date: 2023-02-28
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Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner Front Cover

Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner

  • Length: 736 pages
  • Publication Date: 2023-03-21
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Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data Front Cover

Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data

  • Length: 418 pages
  • Publication Date: 2022-03-24
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Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems Front Cover

Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems

  • Length: 602 pages
  • Publication Date: 2023-02-14
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Practical Mathematics for AI and Deep Learning: A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning Front Cover

Practical Mathematics for AI and Deep Learning: A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning

  • Length: 755 pages
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Python Data Structures Pocket Primer Front Cover

Python Data Structures Pocket Primer

  • Length: 229 pages
  • Publication Date: 2022-12-06
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Deep Network Design for Medical Image Computing: Principles and Applications Front Cover

Deep Network Design for Medical Image Computing: Principles and Applications

  • Length: 264 pages
  • Publication Date: 2022-09-13
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Algebraic Structures in Natural Language Front Cover

Algebraic Structures in Natural Language

  • Length: 290 pages
  • Publication Date: 2022-12-23
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Meta-Learning: Theory, Algorithms and Applications Front Cover

Meta-Learning: Theory, Algorithms and Applications

  • Length: 402 pages
  • Publication Date: 2022-11-22
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