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.

Название: jаvascript for impatient programmers (ECMAScript 2021 edition)
Автор: Rauschmayer Axel
Издательство: Independently published
Год: 2021
Формат: pdf
Страниц: 576
Размер: 44 mb
Язык: english

This book makes jаvascript less challenging to learn for newcomers by offering a modern
view that is as consistent as possible.

Название: Machine Learning and Data Science in the Power Generation Industry: Best Practices, Tools, and Case Studies
Автор: Patrick Bangert
Издательство: Elsevier
Год: 2021
Страниц: 262
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Master expert techniques for building automated and highly scalable end-to-end Machine Learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes. This book will present an overview of data science and Machine Learning (ML) and point toward the many use cases in the power industry where these have already solved problems. The hype surrounding Machine Learning will hopefully be cleared up as this book focusses on what can realistically be done with existing tools.

Название: Сборник задач по вычислительной технике и программированию
Автор: Новиков Г.И., Пермякова Э.И., Яковлев В.Б.
Издательство: М.: Финансы и статистика
Год: 1991
ISBN: 5-279-00373-5
Формат: pdf
Страниц: 145
Размер: 19,5 Мб
Язык: Русский

Сборник содержит методические указания и задания по применению вычислительной техники алгоритмизации и программированию, использованию ЭВМ для обработки экспериментальных данных и решению экономико-математических моделей оптимизации производственных процессов в растениеводстве и животноводстве.