Tag: Machine Theory

Federated Learning with Python: Design and implement a federated learning system and develop applications using existing frameworks Front Cover

Federated Learning with Python: Design and implement a federated learning system and develop applications using existing frameworks

  • Length: 326 pages
  • Publication Date: 2022-10-28
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Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide Front Cover

Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide

  • Length: 280 pages
  • Publication Date: 2022-01-23
5
3 ratings
Text Analysis with Python: A Research Oriented Guide Front Cover

Text Analysis with Python: A Research Oriented Guide

  • Length: 266 pages
  • Publication Date: 2022-08-12
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Recent Advances in IoT and Blockchain Technology Front Cover

Recent Advances in IoT and Blockchain Technology

  • Length: 190 pages
  • Publication Date: 2022-07-29
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Object Detection with Deep Learning Models: Principles and Applications Front Cover

Object Detection with Deep Learning Models: Principles and Applications

  • Length: 266 pages
  • Publication Date: 2022-11-03
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Understanding Artificial Intelligence Front Cover

Understanding Artificial Intelligence

  • Length: 160 pages
  • Publication Date: 2020-12-10
4.5
2 ratings
Comet for Data Science: Enhance your ability to manage and optimize the life cycle of your data science project Front Cover

Comet for Data Science: Enhance your ability to manage and optimize the life cycle of your data science project

  • Length: 402 pages
  • Publication Date: 2022-08-26
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Theory of Computation Simplified: Simulate Real-world Computing Machines and Problems with Strong Principles of Computation Front Cover

Theory of Computation Simplified: Simulate Real-world Computing Machines and Problems with Strong Principles of Computation

  • Length: 620 pages
  • Publication Date: 2022-08-23
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Hyperparameter Tuning with Python: Boost your machine learning model’s performance via hyperparameter tuning Front Cover

Hyperparameter Tuning with Python: Boost your machine learning model’s performance via hyperparameter tuning

  • Length: 306 pages
  • Publication Date: 2022-07-29
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Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more Front Cover

Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more

  • Length: 306 pages
  • Publication Date: 2022-07-29
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Python Text Mining: Perform Text Processing, Word Embedding, Text Classification and Machine Translation Front Cover

Python Text Mining: Perform Text Processing, Word Embedding, Text Classification and Machine Translation

  • Length: 320 pages
  • Publication Date: 2022-03-26
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Machine Learning for Streaming Data with Python: Rapidly build practical online machine learning solutions using River and other top key frameworks Front Cover

Machine Learning for Streaming Data with Python: Rapidly build practical online machine learning solutions using River and other top key frameworks

  • Length: 258 pages
  • Publication Date: 2022-07-15
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