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Название: Practice C++: 160 Solved Exercises to Accelerate your Learning
Автор: Ruhan Conceicao
Издательство: Independently published
Год: 2023
Страниц: 310
Язык: английский
Формат: pdf
Размер: 47.2 MB

Practice your programming logic skills in C++ with this book! In this book, 160 programming logic exercises are presented, all solved. This book is aimed at people who are starting to program and need to develop their programming logic skills using the C++ language. This book is also recommended for teachers who teach subjects such as Algorithms, Programming, Programming Logic, etc., and need a comprehensive resource with problems to use as examples and activities with their students. Practice C++: 160 Solved Exercises to Accelerate Your Learning is an important resource for those who want to start and excel in the world of C++ programming.

Название: Pass The Python Interview: 69 Python Coding Questions, Solutions and Explanations
Автор: Lionel Osamba
Издательство: Independently published
Год: 2023
Страниц: 414
Язык: английский
Формат: pdf
Размер: 45.9 MB

"Pass The Python Interview" is a straightforward book that presents interview questions in a clear manner, accompanied by easy-to-understand solutions and explanations. This resource serves as an introductory guide, particularly useful for aspiring Python developers and software engineers preparing for job interviews.

Название: Data Science in Practice
Автор: Tom Alby
Издательство: CRC Press
Год: 2024
Страниц: 318
Язык: английский
Формат: pdf (true)
Размер: 42.6 MB

Data Science in Practice is the ideal introduction to Data Science. With or without math skills, here, you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make Data Science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application, and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids, and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles. This English version has been updated to include the latest developments such as Quarto and ChatGPT. The rise of ChatGPT & Co raises voices as to whether Data Science is still necessary at all when Microsoft integrates AI into its Ofce product. In teaching practice, I have realized that the introduction to R is a lot faster than the introduction to Python, enabling me to get to the Data Science topics much faster.

Название: Service-Oriented Computing and System Integration: Software, IoT, Big Data, and AI as Services 8th Edition
Автор: Yinong Chen, Gennaro De Luca
Издательство: Kendall Hunt Publishing
Год: 2022
Страниц: 806
Язык: английский
Формат: pdf
Размер: 75.8 MB

New Eighth Edition Now Available! Service-Oriented Computing and System Integration: Software, IoT, Big Data, and AI as Services focuses on service-oriented computing, web application development, and service-oriented system integration. It covers WSDL services, RESTful services, their development and applications, XML and related technologies, Web data management and database accesses, architecture-driven approach, workflow-based software integration, device and IoT integration, as well as the latest technologies in Big Data processing, cloud computing, Machine Learning, Artificial Intelligence, and cross-platform mobile/phone application development. The book teaches both principles and hands-on programming skills, leading to operational software development. Exercises, practice questions, and projects are provided at the end of each chapter to help students review and apply what they have learned. We assume tile readers arc familiar with the object-oriented (OO) computing concepts and have used one of the OO programming languages such as C++, Java, or C# in writing OO programs. However, we start the chapter with a brief introduction to C# and .Net in urder to prepare the readers who have not used C#. Then, the chapter moves to the general issues in multitasking and multithreading, including parallel processing, synchronisation, deadlock, and order of executions, which form the foundation of a distributed computing paradigm.

Название: Machine Learning and Deep Learning in Natural Language Processing
Автор: Anitha S. Pillai and Roberto Tedesco
Издательство: CRC Press
Год: 2024
Страниц: 245
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Natural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as the specific meanings of words, and then they utilize algorithms to extract meaning and produce results. Machine Learning and Deep Learning in Natural Language Processing aims at providing a review of current Neural Network techniques in the NLP field, in particular about Conversational Agents (chatbots), Text-to-Speech, management of non-literal content – like emotions, but also satirical expressions – and applications in the healthcare field. Natural Language Processing (NLP) is a sub-field of Computer Science, information engineering, and Artificial Intelligence (AI) that deals with the computational processing and comprehension of human languages.

Название: Python Basics: The way of the Snake
Автор: Chris Price
Издательство: Independently published
Год: 2023
Страниц: 142
Язык: английский
Формат: pdf
Размер: 24.5 MB

An Introduction to Python. Python is a high-level, interpreted programming language known for its simplicity and readability. It was created by Guido van Rossum and first released in 1991. Python is open-source, which means its source code is freely available for anyone to view, modify, and distribute. Python's design philosophy emphasizes code readability and a clear syntax, making it an excellent language for beginners and experienced programmers alike. It has gained popularity across various domains, including web development, data analysis, artificial intelligence, scientific computing, automation, and more. Python is praised for its extensive standard library, which provides numerous modules and packages to perform a wide range of tasks without having to write complex code from scratch.

Название: Hacks, Leaks, And Revelations: The Art of Analyzing Hacked and Leaked Data, Early Access Edition
Автор: Micah Lee
Издательство: No Starch Press
Год: 07.19.2023
Страниц: 514
Язык: английский
Формат: pdf (true)
Размер: 22.8 MB

Data-science investigations have brought journalism into the 21st century, and—guided by The Intercept’s infosec expert Micah Lee— this book is your blueprint for uncovering hidden secrets in hacked datasets. In the current age of hacking and whistleblowing, the internet contains massive troves of leaked information. These complex datasets can be goldmines of revelations in the public interest— if you know how to access and analyze them. For investigative journalists, hacktivists, and amateur researchers alike, this book provides the technical expertise needed to find and transform unintelligible files into groundbreaking reports. Using Python or other programming languages, you can give your computer precise instructions for performing tasks that existing tools or shell scripts don’t allow. For example, you could write a Python script that scours a million pieces of video metadata to determine where the videos were filmed. In my experience, Python is also simpler, easier to understand, and less error-prone than shell scripts. This chapter provides a crash course on the fundamentals of Python programming. You’ll learn to write and execute Python scripts and use the interactive Python interpreter. You’ll also use Python to do math, define variables, work with strings and Boolean logic, loop through lists of items, and use functions.

Название: Artificial Intelligence in Bioinformatics and Chemoinformatics
Автор: Yashwant V. Pathak, Surovi Saikia, Sarvadaman Pathak
Издательство: CRC Press
Год: 2024
Страниц: 275
Язык: английский
Формат: pdf (true)
Размер: 14.7 MB

The authors aim to shed light on the practicality of using Machine Learning in finding complex chemoinformatics and bioinformatics applications as well as identifiying AI in biological and chemical data points. The chapters are designed in such a way that they highlight the important role of Artificial Intelligence (AI) in chemistry and bioinformatics particularly for the classification of diseases, selection of features and compounds, dimensionality reduction and more. In addition, they assist in the organization and optimal use of data points generated from experiments performed using AI techniques. This volume discusses the development of automated tools and techniques to aid in research plans. Machine Learning (ML) is typically considered to be a branch of Artificial Intelligence. Today computers are able to make decisions on their own without any outside assistance support using ML algorithms. Finding valuable underlying patterns inside complex data allows for the making of such decisions.

Название: Mathematics and Computer Science, Volume 1
Автор: Sharmistha Ghosh, M. Niranjanamurthy, Krishanu Deyasi
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 557
Язык: английский
Формат: pdf (true), epub
Размер: 107.0 MB, 33.0 MB

This first volume in a new multi-volume set gives readers the basic concepts and applications for diverse ideas and innovations in the field of computing together with its growing interactions with mathematics. This new edited volume from Wiley-Scrivener is the first of its kind to present scientific and technological innovations by leading academicians, eminent researchers, and experts around the world in the areas of mathematical sciences and computing. The chapters focus on recent advances in Computer Science, and mathematics, and where the two intersect to create value for end users through practical applications of the theory. The chapters herein cover scientific advancements across a diversified spectrum that includes differential as well as integral equations with applications, computational fluid dynamics, nanofluids, network theory and optimization, control theory, Machine Learning and Artificial Intelligence, Big Data analytics, Internet of Things, cryptography, fuzzy automata, statistics, and many more. Scikit-learn, a tool for developing Machine Learning algorithms, is a standard library of Python. Through Scikit-learn, a trained model for predictive analysis can be developed. Python provides a rich data structure library called Pandas, which provides fast and efficient data transformation and analysis.

Название: Mathematics and Computer Science, Volume 2
Автор: Sharmistha Ghosh, M. Niranjanamurthy, Krishanu Deyasi
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 431
Язык: английский
Формат: pdf (true), epub
Размер: 28.2 MB

This second volume in a new multi-volume set builds on the basic concepts and fundamentals laid out in the previous volume, presenting the reader with more advanced and cutting-edge topics being developed in this exciting field. This second volume in a new series from Wiley-Scrivener is the first of its kind to present scientific and technological innovations by leading academicians, eminent researchers, and experts around the world in the areas of mathematical sciences and computing. Building on what was presented in volume one, the chapters focus on more advanced topics in computer science, mathematics, and where the two intersect to create value for end users through practical applications. The chapters herein cover scientific advancements across a diversified spectrum that includes differential as well as integral equations with applications, computational fluid dynamics, nanofluids, network theory and optimization, control theory, machine learning and artificial intelligence, Big Sata analytics, Internet of Things, cryptography, fuzzy automata, statistics, and many more. Readers of this book will get access to diverse ideas and innovations in the field of computing together with its growing interactions in various fields of mathematics. Whether for the engineer, scientist, student, academic, or other industry professional, this is a must-have for any library.