Tag: Artificial Intelligence

A Practical Approach for Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python Front Cover

A Practical Approach for Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python

  • Length: 280 pages
  • Publication Date: 2019-06-07
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Deep Learning with PyTorch Lightning: Swiftly build high-performance Artificial Intelligence (AI) models using Python Front Cover

Deep Learning with PyTorch Lightning: Swiftly build high-performance Artificial Intelligence (AI) models using Python

  • Length: 340 pages
  • Publication Date: 2022-02-04
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Python Architecture Patterns: Master API design, event-driven structures, and package management in Python Front Cover

Python Architecture Patterns: Master API design, event-driven structures, and package management in Python

  • Length: 594 pages
  • Publication Date: 2022-01-12
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Managing AI in the Enterprise: Succeeding with AI Projects and MLOps to Build Sustainable AI Organizations Front Cover

Managing AI in the Enterprise: Succeeding with AI Projects and MLOps to Build Sustainable AI Organizations

  • Length: 233 pages
  • Publication Date: 2021-12-17
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Interpreting Machine Learning Models: Learn Model Interpretability and Explainability Methods Front Cover

Interpreting Machine Learning Models: Learn Model Interpretability and Explainability Methods

  • Length: 366 pages
  • Publication Date: 2021-12-16
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Agile Machine Learning with DataRobot: Automate each step of the machine learning life cycle, from understanding problems to delivering value Front Cover

Agile Machine Learning with DataRobot: Automate each step of the machine learning life cycle, from understanding problems to delivering value

  • Length: 344 pages
  • Publication Date: 2021-12-24
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Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks Front Cover

Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

  • Length: 362 pages
  • Publication Date: 2022-01-07
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Practical Simulations for Machine Learning: Using Synthetic Data for AI Front Cover

Practical Simulations for Machine Learning: Using Synthetic Data for AI

  • Length: 500 pages
  • Publication Date: 2022-07-19
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Doing AI: A Business-Centric Examination of AI Culture, Goals, and Values Front Cover

Doing AI: A Business-Centric Examination of AI Culture, Goals, and Values

  • Length: 272 pages
  • Publication Date: 2021-12-14
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Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow Front Cover

Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow

  • Length: 268 pages
  • Publication Date: 2021-12-30
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Building an Effective Data Science Practice: A Framework to Bootstrap and Manage a Successful Data Science Practice Front Cover

Building an Effective Data Science Practice: A Framework to Bootstrap and Manage a Successful Data Science Practice

  • Length: 394 pages
  • Publication Date: 2022-01-16
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Machine Learning with PySpark: With Natural Language Processing and Recommender Systems Front Cover

Machine Learning with PySpark: With Natural Language Processing and Recommender Systems

  • Length: 238 pages
  • Publication Date: 2022-01-03
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