Название: Computational Thinking: A Perspective on Computer Science
Автор: Zhiwei Xu, Jialin Zhang
Издательство: Springer
Год: 2021
Страниц: 338
Язык: английский
Формат: pdf (true)
Размер: 10.0 MB

This textbook is intended as a textbook for one-semester, introductory computer science courses aimed at undergraduate students from all disciplines. Self-contained and with no prerequisites, it focuses on elementary knowledge and thinking models. The content has been tested in university classrooms for over six years, and has been used in summer schools to train university and high-school teachers on teaching introductory computer science courses using computational thinking. The book’s structure encourages active, hands-on learning using the pedagogic tool Bloom's taxonomy to create computational solutions to over 200 problems of varying difficulty. Students solve problems using a combination of thought experiment, programming, and written methods. Only 300 lines of code in total are required to solve most programming problems in this book.

Название: 51 Unique Python Projects For Developers
Автор: Edcorner Learning
Издательство: Edcorner Learning
Год: December 21, 2021
Страниц: 266
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.2 MB

This Book consist of 51 Unique Python Projects for developers or student to practice different projects and scenarios. Use these learnings in professional tasks or daily learning projects. At the end of this book, you can download all this projects by using our link. All 51 projects are divided into different modules, every project is special in its own way of performing daily task by a developer. Every project has its source codes which learners can copy and practice/use on their own systems. If there is special requirement for any projects, its already mentioned in the book.

Название: Machine Learning: Algorithms, Models and Applications
Автор: Jaydip Sen
Издательство: ITexLi
Год: 2021
Страниц: 131
Язык: английский
Формат: pdf (true)
Размер: 10.26 MB

The chapters in the book illustrate how Machine Learning and Deep Learning algorithms and models are designed, optimized, and deployed. The volume will be useful for advanced graduate and doctoral students, researchers, faculty members of universities, practicing data scientists and data engineers, professionals, and consultants working on the broad areas of Machine Learning, Deep Learning, and Artificial Intelligence. Recent times are witnessing rapid development in Machine Learning algorithm systems, especially in reinforcement learning, natural language processing (NLP), computer and robot vision, image processing, speech, and emotional processing and understanding. In tune with the increasing importance and relevance of Machine Learning models, algorithms, and their applications, and with the emergence of more innovative uses–cases of Deep Learning and Artificial Intelligence, the current volume presents a few innovative research works and their applications in real-world, such as stock trading, medical and healthcare systems, and software automation.

Название: Algorithmic Information Theory for Physicists and Natural Scientists
Автор: Sean D Devine
Издательство: IOP Publishing
Год: 2020
Страниц: 238
Язык: английский
Формат: pdf (true), epub
Размер: 10.3 MB

Algorithmic information theory (AIT), or Kolmogorov complexity as it is known to mathematicians, can provide a useful tool for scientists to look at natural systems, however, some critical conceptual issues need to be understood and the advances already made collated and put in a form accessible to scientists. AIT is a branch of theoretical Computer Science that concerns itself with the relationship between computation and information of computably generated objects (as opposed to stochastically generated), such as strings or any other data structure. This book has been written in the hope that readers will be able to absorb the key ideas behind AIT so that they are in a better position to access the mathematical developments and to apply the ideas to their own areas of interest. The theoretical underpinning of AIT is outlined in the earlier chapters, while later chapters focus on the applications, drawing attention to the thermodynamic commonality between ordered physical systems such as the alignment of magnetic spins, the maintenance of a laser distant from equilibrium, and ordered living systems such as bacterial systems, an ecology, and an economy.

Название: Quantum Computing: A pathway to quantum logic design
Автор: Hafiz Md. Hasan Babu
Издательство: IOP Publishing
Год: 2020
Страниц: 272
Язык: английский
Формат: pdf (true)
Размер: 57.8 MB

Quantum computing is an emerging technology with the potential to have a significant impact on science and society. Recent advances in mathematics, material science and computer engineering are transforming quantum computing from theory into practice. As quantum computing is an entirely different concept compared to classical computing, it is necessary to develop a new way of thinking to establish the new technologies for the current quantum revolution. This book is an essential resource for students and active researchers where the readers are introduced to quantum computing and quantum logic, fault tolerant quantum computing and quantum dot cellular automata (QCA).

Название: Classical and Physical Security of Symmetric Key Cryptographic Algorithms
Автор: Anubhab Baksi
Издательство: Springer
Год: 2022
Страниц: 295
Язык: английский
Формат: pdf (true), epub
Размер: 52.0 MB

This book consolidates several key aspects from the state-of-the-art research in symmetric key cryptography, which is among the cornerstones of digital security. It presents the content in an informative yet beginner-friendly, accompanied with toy examples and comprehensible graphics. In particular, it highlights the recent developments in tool-assisted analysis of ciphers. Furthermore, promising device-dependent attacks, such as fault attack and side channel attacks on symmetric key ciphers, are discussed in detail. One salient feature of this book is to present a detailed analysis of various fault countermeasures. The coverage of our book is quite diverse—it ranges from prerequisite information, latest research contribution as well as future research directions. Cryptography is the branch of computer science (often involves electronics, mathematics, and statistics) which studies the area security mostly from a theoretical perspective. In short, it deals with data confidentiality (or privacy), integrity, authentication, and non-repudiation.

Название: Programming ML.NET
Автор:Dino Esposito, Francesco Esposito
Издательство: Microsoft Press/Pearson Education
Год: 2022
Страниц: 256
Язык: английский
Формат: pdf, epub
Размер: 16.4 MB

With .NET 5’s ML.NET and Programming ML.NET, any Microsoft .NET developer can solve serious machine learning problems, increasing their value and competitiveness in some of today’s fastest-growing areas of software development. World-renowned Microsoft development expert Dino Esposito covers everything you need to know about ML.NET, the machine learning pipeline, and real-world machine learning solutions development. Modeled on his popular Programming ASP.NET books, this guide takes the same scenario-based approach Microsoft’s team used to build the ML.NET framework itself. Esposito presents and illuminates ML.NET’s dedicated mini-frameworks (“ML Tasks”) for specific classes of problems, and draws on personal experience to help developers apply these in the real world, where a problem’s complexity can vary widely based on data availability or the specific results you need.

Название: Python Programming Reference Guide: A Comprehensive Guide for Beginners to Master the Basics of Python Programming Language with Practical Coding & Learning Tips
Автор: Coleman Newton
Издательство: Independently published
Год: 2021
Страниц: 104
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Whenever you are thinking of a widely used, high level programming language, you have python as your favorite option. Established in the early nineties by Guido Van Rossum, and then it was later developed by the Python Software Foundation (PSF). The motive behind its design was on the readability of code, thus its syntax gives the chance for programmers to show the concepts they're made of in just a fewer code lines. You might just be interested in programming, whether you have done it before or not, or might be a student, or in the category of the working class, with the aim of upgrading yourself in the line of programming, and if you fall into any of these, you're on the right track. If you had ever thought of a great programming language suitable for building your next software and website, learning machine, conducting some data analysis, designing, or automating tasks, you have got Python programming at your back.

Название: Machine Learning: The Basics
Автор: Alexander Jung
Издательство: Springer
Год: 2022
Формат: ePUB, PDF
Страниц: 225
Размер: 23,6 Mb
Язык: English

Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles.

Название: Язык R в задачах науки о данных: импорт, подготовка, обработка, визуализация и моделирование данных
Автор: Уикем Хэдли, Гроулмунд Гарретт
Издательство: Диалектика
Год: 2018
Формат: PDF
Страниц: 578
Размер: 31,4 Mb
Язык: Русский

Овладейте искусством превращения необработанных первичных данных в плодотворные догадки, гипотезы и новые знания с помощью языка R. Эта книга задумана как введение в вычислительную среду R, среду разработки RStudio и библиотеку tidyverse - коллекцию пакетов, совместное использование которых обеспечивает быстроту и легкость анализа данных. Книга ориентирована на читателей, не имеющих предварительного опыта программирования, и предназначена для того, чтобы помочь им в как можно более короткие сроки начать решать задачи науки о данных.