Category: Science & Math

Distributional Reinforcement Learning Front Cover

Distributional Reinforcement Learning

  • Length: 384 pages
  • Publication Date: 2023-05-30
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The notion of mathematical proof: Key rules and considerations Front Cover

The notion of mathematical proof: Key rules and considerations

  • Length: 424 pages
  • Publication Date: 2022-12-01
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Organic Solar Cells Front Cover

Organic Solar Cells

  • Length: 258 pages
  • Publication Date: 2022-12-01
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Everyday Chemicals: Understanding the Risks Front Cover

Everyday Chemicals: Understanding the Risks

  • Length: 320 pages
  • Publication Date: 2023-02-21
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Networks: An Economics Approach Front Cover

Networks: An Economics Approach

  • Length: 824 pages
  • Publication Date: 2023-04-18
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Remote Sensing and Digital Image Processing with R – Lab Manual Front Cover

Remote Sensing and Digital Image Processing with R – Lab Manual

  • Length: 178 pages
  • Publication Date: 2023-06-30
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Introductory Statistics Front Cover

Introductory Statistics

  • Length: 178 pages
  • Publication Date: 2023-04-14
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Mathematics For Computation (m4c) Front Cover

Mathematics For Computation (m4c)

  • Length: 476 pages
  • Publication Date: 2023-03-22
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Computational Mathematics: An introduction to Numerical Analysis and Scientific Computing with Python Front Cover

Computational Mathematics: An introduction to Numerical Analysis and Scientific Computing with Python

  • Length: 508 pages
  • Publication Date: 2023-06-19
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Confessions of an Enterprise Architect Front Cover

Confessions of an Enterprise Architect

  • Length: 272 pages
  • Publication Date: 2023-08-02
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Multi-Criteria Decision-Making Sorting Methods: Applications to Real-World Problems Front Cover

Multi-Criteria Decision-Making Sorting Methods: Applications to Real-World Problems

  • Length: 370 pages
  • Publication Date: 2023-06-15
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Machine Learning with R: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data, 4th Edition Front Cover

Machine Learning with R: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data, 4th Edition

  • Length: 762 pages
  • Publication Date: 2023-05-29
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