Tag: AI & Machine Learning

Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications Front Cover

Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications

  • Length: 286 pages
  • Publication Date: 2022-02-09
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Artificial Intelligence for All: Transforming Every Aspect of Our Life Front Cover

Artificial Intelligence for All: Transforming Every Aspect of Our Life

  • Length: 150 pages
  • Publication Date: 2020-02-15
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Building Smart Robots Using ROS: Design, Build, Simulate, Prototype and Control Smart Robots Using ROS, Machine Learning and React Native Platform Front Cover

Building Smart Robots Using ROS: Design, Build, Simulate, Prototype and Control Smart Robots Using ROS, Machine Learning and React Native Platform

  • Length: 222 pages
  • Publication Date: 2022-03-24
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Raspberry Pi Image Processing Programming: With NumPy, SciPy, Matplotlib, and OpenCV, 2nd Edition Front Cover

Raspberry Pi Image Processing Programming: With NumPy, SciPy, Matplotlib, and OpenCV, 2nd Edition

  • Length: 263 pages
  • Publication Date: 2022-09-21
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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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Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems Front Cover

Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems

  • Length: 396 pages
  • Publication Date: 2022-07-29
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Natural Language Processing with TensorFlow: The definitive NLP book to implement the most sought-after machine learning models and tasks, 2nd Edition Front Cover

Natural Language Processing with TensorFlow: The definitive NLP book to implement the most sought-after machine learning models and tasks, 2nd Edition

  • Length: 514 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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High-Performance Big Data Computing Front Cover

High-Performance Big Data Computing

  • Length: 272 pages
  • Publication Date: 2022-08-02
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Hands-on AIOps: Best Practices Guide to Implementing AIOps Front Cover

Hands-on AIOps: Best Practices Guide to Implementing AIOps

  • Length: 266 pages
  • Publication Date: 2022-08-21
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Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases Front Cover

Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases

  • Length: 327 pages
  • Publication Date: 2022-08-31
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Essentials of Deep Learning and AI: Experience Unsupervised Learning, Autoencoders, Feature Engineering, and Time Series Analysis with TensorFlow, Keras, and scikit-learn Front Cover

Essentials of Deep Learning and AI: Experience Unsupervised Learning, Autoencoders, Feature Engineering, and Time Series Analysis with TensorFlow, Keras, and scikit-learn

  • Length: 394 pages
  • Publication Date: 2021-11-25
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