Название: Структуры данных для персональных ЭВМ Автор: Лэнгсам Й., Огенстайн М., Тененбаум А. Издательство: М.: Мир Год: 1989 ISBN: 5-03-000538-2 Формат: pdf, djvu Страниц: 569 Размер: 53,4 Мб Язык: Русский
В книге американских специалистов подробно излагаются вопросы организации структур данных на основе использования рекурсии, методы сортировки и поиска информации, принципы работы со стеками и очередями, а также с деревьями и графами.
Название: Data Science and Internet of Things: Research and Applications at the Intersection of DS and IoT Автор: Giancarlo Fortino, Antonio Liotta, Raffaele Gravina, Alessandro Longheu Издательство: Springer Год: 2021 Формат: PDF Страниц: 189 Размер: 10 Mb Язык: English
This book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from data science can effectively support IoT. The authors show how data science methodologies, techniques and tools, can translate data into information, enabling the effectiveness and usefulness of new services offered by IoT stakeholders.
Название: Special Functions in Physics with MATLAB Автор: Wolfgang Schweizer Издательство: Springer Год: 2021 Страниц: 287 Язык: английский Формат: pdf (true) Размер: 10.1 MB
This handbook focuses on special functions in physics in the real and complex domain. It covers more than 170 different functions with additional numerical hints for efficient computation, which are useful to anyone who needs to program with other programming languages as well. The book comes with MATLAB-based programs for each of these functions and a detailed html-based documentation.
Название: Programming for Electrical Engineers: MATLAB and Spice Автор: James C. Squire Ph.D., Julie Phillips Brown Ph.D. Издательство: Academic Press/Elsevier Год: 2021 Страниц: 273 Язык: английский Формат: pdf (true) Размер: 11.9 MB
Programming for Electrical Engineers: MATLAB and Spice introduces beginning engineering students to programming in Matlab and Spice through engaged, problem-based learning and dedicated electrical and computer engineering content. The book draws its problems and examples specifically from electrical and computer engineering, covering such topics as circuit analysis, signal processing, and filter design. It teaches relevant computational techniques in the context of solving common problems in electrical and computer engineering, including mesh and nodal analysis, Fourier transforms, and phasor analysis.
Название: Data Science in Chemistry: Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter (De Gruyter Textbook) Автор: Thorsten Gressling Издательство: Walter de Gruyter GmbH Год: 2021 Формат: True PDF Страниц: 540 Размер: 10.9 Mb Язык: English
The ever-growing wealth of information has led to the emergence of a fourth paradigm of science. This new field of activity – data science – includes computer science, mathematics and a given specialist domain. This book focuses on chemistry, explaining how to use data science for deep insights and take chemical research and engineering to the next level. It covers modern aspects like Big Data, Artificial Intelligence and Quantum computing.
Название: Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide Автор: Ahmed Fawzy Gad, Fatima Ezzahra Jarmouni Издательство: Elsevier Inc Год: 2021 Формат: True PDF Страниц: 288 Размер: 40.5 Mb Язык: English
Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and Python™ code examples to clarify neural network calculations, by book’s end readers will fully understand how neural networks work starting from the simplest model Y=X and building from scratch. Details and explanations are provided on how a generic gradient descent algorithm works based on mathematical and Python™ examples, teaching you how to use the gradient descent algorithm to manually perform all calculations in both the forward and backward passes of training a neural network.
Название: Learn Machine Learning for Finance: The comprehensive quickstart guide to build 6-figures passive income with stock and day trading. Master as a pro Python, Scikit, TensorFlow and Keras in 7 days Автор: Mark Broker, Jason Test Издательство: Independently published Год: 2020 Страниц: 284 Язык: английский Формат: pdf, azw3, epub Размер: 10.1 MB
Your Client Will Appreciate This fabulous guide with unique contents. Escape the rat race now! Would you like to learn the Python Programming Language and Machine Learning in 7 days? Do you want to increase your trading thanks to Python and applied AI? If so, keep reading: this bundle book is for you! Today, thanks to computer programming and Python we can work with sophisticated machines that can study human behavior and identify underlying human behavioral patterns. Scientists can predict effectively what products and services consumers are interested in. You can also create various quantitative and algorithmic trading strategies using Python.
Название: Cognitive Computing Systems: Applications and Technological Advancements Автор: Vishal Jain, Akash Tayal Издательство: Apple Academic Press/CRC Press Год: 2021 Страниц: 425 Язык: английский Формат: pdf (true) Размер: 13.3 MB
This new volume, Cognitive Computing Systems: Applications and Technological Advancements, explores the emerging area of Artificial Intelligence (AI) that encompasses machine self-learning, human-computer interaction, natural language processing, data mining and more. It introduces cognitive computing systems, highlights their key applications, discusses the technologies used in cognitive systems, and explains underlying models and architectures. Focusing on scientific work for real-world applications, each chapter presents the use of cognitive computing and Machine Learning (ML) in specific application areas.
Название: Структуры данных в C#: линейные и нелинейные динамические структуры Автор: Симонова Е.В. Издательство: Лань Год: 2020 Формат: PDF Страниц: 164 Размер: 10 Mb Язык: Русский
Учебное пособие включает разделы, которые подробно описывают абстрагирование типов, идентификацию объектов, классы оперативной памяти, линейные динамические структуры данных (односвязные, двусвязные списки, мультисписки), рекурсивные алгоритмы обработки структур данных, иерархические структуры данных (деревья и графы). Теоретический материал иллюстрируется большим количеством программных фрагментов, реализующих алгоритмы обработки различных структур данных. Учебное пособие содержит контрольные вопросы и упражнения по всем разделам.
Название: Mobile Applications Development: with Python in Kivy Framework Автор: Kamal Kant Hiran, Ruchi Doshi, Tarkeshwar Barua Издательство: Walter de Gruyter GmbH Год: 2021 Формат: true pdf/epub Страниц: 362 Размер: 50 Mb Язык: English
The book covers the concepts of Python programming language along with mobile application development. Starting from fundamentals, the book continues with the explanation of mobile app development using Kivy framework. All the chapters offer questions and exercises for to better understanding of the subject. At the end of the book some hands-on projects are given to help the readers to improve their programming and project development skills.