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1.
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D 30
Deep learning applications and intelligent decision making in engineering / / Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani and Ravi Samikannu, editors. - Hershey, PA : : Engineering Science Reference,, [2021]. - 1 online resource. - (Advances in computational intelligence and robotics (ACIR) book series). - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/DD4291CF-FE4E-4162-A82D-E90DC0784967. - ISBN 1799821102 (electronic book). - ISBN 9781799821106 (electronic bk.)
Description based on online resource; title from digital title page (viewed on November 19, 2020).
Параллельные издания: Print version: : Deep learning applications and intelligent decision making in engineering. - Hershey, PA : Engineering Science Reference, 2020. - ISBN 9781799821083
~РУБ DDC 620.00285/631
Рубрики: Engineering--Data processing.
Computational intelligence.
Machine learning.
Smart materials.
Computational intelligence.
Engineering--Data processing.
Machine learning.
Smart materials.
Аннотация: "This book explores the application of deep learning in building a smart world, ranging from smart cities, smart agriculture to smart homes"--
Доп.точки доступа:
Senthilnathan, Karthikrajan, (1991-) \editor.\
Shanmugam, Balamurugan, (1985-) \editor.\
Goyal, Dinesh, (1976-) \editor.\
Annapoorani, Iyswarya, (1976-) \editor.\
Samikannu, Ravi, (1982-) \editor.\
D 30
Deep learning applications and intelligent decision making in engineering / / Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani and Ravi Samikannu, editors. - Hershey, PA : : Engineering Science Reference,, [2021]. - 1 online resource. - (Advances in computational intelligence and robotics (ACIR) book series). - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/DD4291CF-FE4E-4162-A82D-E90DC0784967. - ISBN 1799821102 (electronic book). - ISBN 9781799821106 (electronic bk.)
Description based on online resource; title from digital title page (viewed on November 19, 2020).
Параллельные издания: Print version: : Deep learning applications and intelligent decision making in engineering. - Hershey, PA : Engineering Science Reference, 2020. - ISBN 9781799821083
Рубрики: Engineering--Data processing.
Computational intelligence.
Machine learning.
Smart materials.
Computational intelligence.
Engineering--Data processing.
Machine learning.
Smart materials.
Аннотация: "This book explores the application of deep learning in building a smart world, ranging from smart cities, smart agriculture to smart homes"--
Доп.точки доступа:
Senthilnathan, Karthikrajan, (1991-) \editor.\
Shanmugam, Balamurugan, (1985-) \editor.\
Goyal, Dinesh, (1976-) \editor.\
Annapoorani, Iyswarya, (1976-) \editor.\
Samikannu, Ravi, (1982-) \editor.\
2.
Подробнее
F 96
Führer, Claus,.
Scientific computing with Python : : high-performance scientific computing with NumPy, SciPy, and pandas / / Claus Fuhrer, Olivier Verdier, Jan Erik Solem. - Second edition. - Birmingham : : Packt Publishing,, ©2021. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/74C5044D-4C79-431A-9F17-298D41B91EB4. - ISBN 9781838825102 (electronic bk.). - ISBN 183882510X (electronic bk.)
Print version record.
Параллельные издания: Print version: : Führer, Claus. Scientific computing with Python. - Birmingham : Packt Publishing, [2021]. - ISBN 9781838822323
~РУБ DDC 005.133
Рубрики: Python (Computer program language)
Science--Data processing.
Engineering--Data processing.
Application software--Development.
Application software--Development.
Engineering--Data processing.
Python (Computer program language)
Science--Data processing.
Аннотация: Leverage this example-packed, comprehensive guide for all your Python computational needs. Book DescriptionPython has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations.By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing. This book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python.
Доп.точки доступа:
Verdier, Olivier, \author.\
Solem, Jan Erik, \author.\
F 96
Führer, Claus,.
Scientific computing with Python : : high-performance scientific computing with NumPy, SciPy, and pandas / / Claus Fuhrer, Olivier Verdier, Jan Erik Solem. - Second edition. - Birmingham : : Packt Publishing,, ©2021. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/74C5044D-4C79-431A-9F17-298D41B91EB4. - ISBN 9781838825102 (electronic bk.). - ISBN 183882510X (electronic bk.)
Print version record.
Параллельные издания: Print version: : Führer, Claus. Scientific computing with Python. - Birmingham : Packt Publishing, [2021]. - ISBN 9781838822323
Рубрики: Python (Computer program language)
Science--Data processing.
Engineering--Data processing.
Application software--Development.
Application software--Development.
Engineering--Data processing.
Python (Computer program language)
Science--Data processing.
Аннотация: Leverage this example-packed, comprehensive guide for all your Python computational needs. Book DescriptionPython has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations.By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing. This book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python.
Доп.точки доступа:
Verdier, Olivier, \author.\
Solem, Jan Erik, \author.\
Страница 1, Результатов: 2