Category: Mathematics

Mixture Models: Parametric, Semiparametric, and New Directions Front Cover

Mixture Models: Parametric, Semiparametric, and New Directions

  • Length: 379 pages
  • Publication Date: 2024-04-18
0
0 ratings
Mathematical Methods using Python: Applications in Physics and Engineering Front Cover

Mathematical Methods using Python: Applications in Physics and Engineering

  • Length: 488 pages
  • Publication Date: 2024-05-14
0
0 ratings
Research Software Engineering: A Guide to the Open Source Ecosystem Front Cover

Research Software Engineering: A Guide to the Open Source Ecosystem

  • Length: 182 pages
  • Publication Date: 2024-04-17
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0 ratings
Introduction to Data Science: Data Analysis and Prediction Algorithms with R Front Cover

Introduction to Data Science: Data Analysis and Prediction Algorithms with R

  • Length: 713 pages
  • Publication Date: 2019-11-08
4.3
14 ratings
Application of Group Theory to Symmetric Structures Front Cover

Application of Group Theory to Symmetric Structures

  • Length: 188 pages
  • Publication Date: 2024-04-10
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0 ratings
Modern Data Visualization with R Front Cover

Modern Data Visualization with R

  • Length: 259 pages
  • Publication Date: 2024-03-29
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0 ratings
Linear Algebra: Theory And Applications Front Cover

Linear Algebra: Theory And Applications

  • Length: 624 pages
  • Publication Date: 2011-01-05
4.1
9 ratings
TOP BOOKS, INTEGRATION Front Cover

TOP BOOKS, INTEGRATION

  • Length: 29 pages
  • Publication Date: 2024-01-17
0
0 ratings
Linear Algebra for Earth Scientists Front Cover

Linear Algebra for Earth Scientists

  • Length: 302 pages
  • Publication Date: 2024-04-22
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0 ratings
Computational Methods in Engineering: Finite Difference, Finite Volume, Finite Element, and Dual Mesh Control Domain Methods Front Cover

Computational Methods in Engineering: Finite Difference, Finite Volume, Finite Element, and Dual Mesh Control Domain Methods

  • Length: 570 pages
  • Publication Date: 2024-03-19
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0 ratings
Python Machine Learning: Using Scikit Learn, TensorFlow, PyTorch, and Keras, an Introductory Journey into Machine Learning, Deep Learning, Data Analysis, Algorithms, and Data Science Front Cover

Python Machine Learning: Using Scikit Learn, TensorFlow, PyTorch, and Keras, an Introductory Journey into Machine Learning, Deep Learning, Data Analysis, Algorithms, and Data Science

  • Length: 119 pages
  • Publication Date: 2024-02-24
0
0 ratings
Spatial Statistics for Data Science: Theory and Practice with R Front Cover

Spatial Statistics for Data Science: Theory and Practice with R

  • Length: 280 pages
  • Publication Date: 2023-12-08
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0 ratings