Название: Mathematical Modeling for Computer Applications
Автор: Biswadip Basu Mallik, M. Niranjanamurthy, Sharmistha Ghosh, Valentina Emilia Balas, Krishanu Deyasi, Santanu Das
Издательство: Wiley-Scrivener
Серия: Mathematics and Computer Science
Год: 2024
Страниц: 546
Язык: английский
Формат: pdf (true)
Размер: 46.1 MB

This new volume in this groundbreaking series on mathematics and computer science builds on the basic concepts and fundamentals laid out in previous volumes, presenting the reader with more advanced and cutting-edge topics being developed in this exciting field. Mathematics is the foundation on which Computer Science is built. Mathematical Logic, Set theory, Combinatorics, Graph Theory, Probability Theory, Number Theory, and Algebra are all part of Discrete Mathematics and form the basic foundation for Programming and Computer Science. Analytical skills are a necessity for learning problem-solving and data analysis. And, mathematics is the first place where you get to use these skills. Computer science examines the principles and use of computers in processing information, designing hardware and software, and using applications. Algebra is used in computer science in the development of algorithms and software for working with mathematical objects. It is also used to design formulas that are used in numerical programs and for complete scientific computations. Statistics is a form of mathematics used in Computer Science that uses quantified models, representations, and synopses for a provided collection of experimental data or actual studies. The field studies methodologies to obtain, review, evaluate, and form conclusions from data. Statistics is used for data mining, speech recognition, vision and image analysis, data compression, traffic modelling, and even Artificial Intelligence (AI) and for simulations.

Название: Introduction to Quantitative Social Science with Python
Автор: Weiqi Zhang, Dmitry Zinoviev
Издательство: CRC Press
Серия: The Python Series
Год: 2025
Страниц: 356
Язык: английский
Формат: pdf (true), epub
Размер: 13.1 MB

Departing from traditional methodologies of teaching data analysis, this book presents a dual-track learning experience, with both Executive and Technical Tracks, designed to accommodate readers with various learning goals or skill levels. Through integrated content, readers can explore fundamental concepts in data analysis while gaining hands-on experience with Python programming, ensuring a holistic understanding of theory and practical application in Python. Emphasizing the practical relevance of data analysis in today's world, the book equips readers with essential skills for success in the field. By advocating for the use of Python, an open-source and versatile programming language, we break down financial barriers and empower a diverse range of learners to access the tools they need to excel. Whether you're a novice seeking to grasp the foundational concepts of data analysis or a seasoned professional looking to enhance your programming skills, this book offers a comprehensive and accessible guide to mastering the art and science of data analysis in social science research.

Название: Изучаем Pandas на финансовых данных
Автор: Сергей Спирёв
Издательство: Stepik
Год: 2024
Формат: PDF
Страниц: много
Размер: 146 Mb
Язык: Русский

В курсе мы будем учиться работать с библиотекой Pandas, используя при этом различные финансовые и экономические данные. Тем самым, параллельно с изучением самой библиотеки, вы также сможете узнать для себя и что-то новое из мира экономики и финансов.

Название: Ransomware Analysis: Knowledge Extraction and Classification for Advanced Cyber Threat Intelligence
Автор: Claudia Lanza, Abdelkader Lahmadi, Jérôme François
Издательство: CRC Press
Год: 2025
Страниц: 113
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This book presents the development of a classification scheme to organize and represent ransomware threat knowledge through the implementation of an innovative methodology centered around the semantic annotation of domain-specific source documentation. By combining principles from Computer Science, document management, and semantic data processing, the research establishes an innovative framework to organize ransomware data extracted from specialized source texts in a systematic classification system. Through detailed chapters, the book explores the process of applying semantic annotation to a specialized corpus comprising CVE prose descriptions linked to known ransomware threats. This approach not only organizes but also deeply analyzes these descriptions, uncovering patterns and vulnerabilities within ransomware operations. The book presents a pioneering methodology that integrates CVE descriptions with ATT&CK frameworks, significantly refining the granularity of threat intelligence. The insights gained from a pattern-based analysis of vulnerability-related documentation are structured into a hierarchical model within an ontology framework, enhancing the capability for predictive operations. This model prepares cybersecurity professionals to anticipate and mitigate risks associated with new vulnerabilities as they are cataloged in the CVE list, by identifying recurrent characteristics tied to specific ransomware and related vulnerabilities. With real-world examples, this book empowers its readers to implement these methodologies in their environments, leading to improved prediction and prevention strategies in the face of growing ransomware challenges.

Название: Beginning MongoDB Atlas with .NET: Flexible and Scalable Document Storage for .NET Developers
Автор: Luce Carter
Издательство: Apress
Год: 2024
Страниц: 164
Язык: английский
Формат: pdf
Размер: 10.1 MB

This book is a tutorial on MongoDB customized for developers working in Microsoft .NET 6, .NET 7, and beyond. It explains the differences between relational database systems and the document model supported by MongoDB, and shows how to build .NET applications that run against a MongoDB database, especially one in the cloud. Author Luce Carter kicks things off by teaching you how to determine when to use a document database versus a relational engine. After that, she walks you through building a Microsoft .NET project combining the MongoDB Atlas cloud database as a service solution with a .NET. application. In the process, you will learn how to create, read, update, and delete data in MongoDB from any .NET project. You will come away from this book with a solid understanding of MongoDB’s Developer Data Platform and how to use it from your .NET applications. You’ll be able to connect to MongoDB in the cloud and take advantage of the flexibility and scalability that MongoDB’s document storage model provides, and you’ll understand how to craft your applications to run using document storage and the MongoDB database engine. For .NET developers who are looking for an alternative to relational databases, and those looking for a flexible and scalable document storage solution for use from .NET applications. Additionally, anyone wanting to learn MongoDB in the context of .NET and C# will benefit from this book.

Название: Future Tech Startups and Innovation in the Age of AI
Автор: Inam Ullah Khan, Hamed Taherdoost, Mitra Madanchian, Mariya Ouaissa, Salma El Hajjami, Hameedur Rahman
Издательство: CRC Press
Год: 2025
Страниц: 262
Язык: английский
Формат: pdf (true), epub
Размер: 13.7 MB

Our book, Future of Tech Startups and Innovations in the Age of AI, mainly focuses on Artificial Intelligence (AI) tools, AI-based startups, AI-enabled innovations, Autonomous AI Agents (Auto-GPT), AI-based marketing startups, Machine Learning for organizations, AI-internet of things (IoT) for new tech companies, AI-enabled drones for agriculture industry, Machine Learning (ML)/Deep Learning (DL)-based drip farming, AI-based driverless cars, AI-based weather prediction startups, AI tools for personal branding, AI-based teaching, AI-based doctor/hospital startups, AI for game companies, AI-based finance tools, AI for human resource management, AI-powered management tools, AI tools for future pandemics, AI/ML-based transportation companies, AI for media, AI for carrier counseling, AI for customer care, AI for next generation businesses, and many more applications. AI tools and techniques will revolutionize startups all over the world. Entrepreneurs, engineers, and practitioners have already moved toward AI-based solutions to reshape businesses. AI/ML will create possibilities and opportunities for improving human lifestyles. AI-enabled startups will work on cost-effective solutions to solve difficult problems. Recently, many research companies are interested in providing solutions and investing a lot in AI-based startups. AI-driven products will revolutionize the "smart world." AI computing tech companies will help to model human speech recognition systems. Also, AI-based startups will focus on perception and reasoning of autonomous robotic systems.

Название: A Beginner's Guide to Medical Application Development with Deep Convolutional Neural Networks
Автор: Snehan Biswas, Amartya Mukherjee, Nilanjan Dey
Издательство: CRC Press
Год: 2025
Страниц: 199
Язык: английский
Формат: pdf (true), epub
Размер: 51.9 MB

This book serves as a source of introductory material and reference for medical application development and related technologies by providing the detailed implementation of cutting-edge Deep Learning methodologies. It targets cloud-based advanced medical application developments using open-source Python-based Deep Learning libraries. It includes code snippets and sophisticated convolutional neural networks to tackle real-world problems in medical image analysis and beyond. In recent years, deep neural networks (DNNs) have emerged as a powerful tool for analyzing medical data. These networks are capable of learning complex patterns in data, and can be trained to identify subtle features that traditional methods may miss. With the ability to process large amounts of data quickly and accurately, DNNs offer a promising avenue for improving medical diagnosis and treatment. This book aims to provide a comprehensive introduction to the use of DNNs for medical data analysis. The book is intended for a wide audience, including healthcare professionals, data scientists, researchers, and students. It covers the basics of neural networks and Deep Learning, and provides a detailed overview of the various types of networks that can be used for medical data analysis. The book also includes case studies and practical examples of how DNNs have been used to diagnose and treat a range of medical conditions. Chapter 1 provides an overview of the basics of neural networks and Deep Learning. It covers the fundamentals of how neural networks work and how they can be used to learn from data. The chapter also explores different types of Deep Learning architectures and how they can be used for medical data analysis. Chapter 2 focuses on the details about a special type of neural network, known as the convolutional neural network (CNN), and how it can solve the problems of image analysis by learning different features of the training images. The chapter also provides an idea about some of the recent state-of-the-art models that have been developed by researchers all around the world. This book is aimed at graduate students and researchers in medical data analytics, medical image analysis, signal processing, and Deep Learning.

Название: Parallel Programming with C# and .NET: Fundamentals of Concurrency and Asynchrony Behind Fast-Paced Applications
Автор: Vaskaran Sarcar
Издательство: Apress
Год: 2024
Страниц: 425
Язык: английский
Формат: pdf
Размер: 10.1 MB

If you need to understand concurrency, this book is your guide to the fundamentals behind the advanced software you seek to implement to achieve highly responsive and scalable code. Support for parallel computation is an essential part of concurrency. Concurrency is an advanced concept and solutions are not straightforward. Many developers have been burned by it and are still being burned by it. This book aims to simplify the concept for C# developers. It tries to simplify the concept using the Task Parallel Library (TPL), Concurrent Collections, Parallel LINQ (PLINQ), Asynchronous Programming Patterns, and related topics. The book starts with an overview of TPL and discusses Tasks. Understanding these areas is necessary to learn the concepts that follow in the book. You will go through special scenarios, such as handling exceptions and cancellations, followed by demonstrations of synchronization techniques and concurrent collections. You will see demonstrations of parallel loops to speed up the computations. And you'll understand PLINQ in detail. Asynchronous programming with async and await keywords is discussed. The book contains “Q&A sessions”, review questions, and exercises (in .NET 8 and C#12). After reading the book, you will be able to understand advanced concepts in parallel programming and implement them in your code. For developers familiar with C# but are absolute beginners for parallel programming.

Название: Java Methods: Object-Oriented Programming and Data Structures, 4th Edition
Автор: Maria Litvin, Gary Litvin
Издательство: Skylight Publishing
Год: 2022
Страниц: 528
Язык: английский
Формат: pdf
Размер: 97.3 MB

This is the fourth edition of the popular computer science textbook Java Methods. The book offers a thorough introduction to the concepts and practices of object-oriented programming in Java. It also introduces the most common data structures and related algorithms and their implementations in the Java collections framework. Chapters 1-14 follow the syllabus of the AP Computer Science course. They will prepare you well for the AP CS exam. Chapters 15-18 on file input and output, graphics, graphical user interfaces, and events handling in Java will give you a better sense of real-world Java programming; this material also makes case studies, labs, and exercises more fun. Chapter 19 revisits recursion at a deeper level. Chapter 20 introduces the concepts of look-up tables, sets, and maps, and their implementation in the Java Collections Framework. The last chapter, Computing in Context, discusses creative, responsible, and ethical computer use. The book follows four main threads: Java syntax and style, OOP concepts and techniques, algorithms, and Java libraries. As in the software engineering profession itself, these threads are interwoven into an inseparable braid. Working through this book will not make you a Java expert right away, but it will bring you to the level of an entry-level Java programmer with a better than average understanding of the fundamental concepts. We also emphasize good programming style, an element not mandated by formal Java language specifications but essential for writing readable and professional code. Our labs and case studies aim to demonstrate the most appropriate uses of the programming techniques and data structures we cover.

Название: Generative AI For Dummies
Автор: Pam Baker
Издательство: For Dummies
Год: 2025
Страниц: 304
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

Generate a personal assistant with Generative AI. Generative AI tools capable of creating text, images, and even ideas seemingly out of thin air have exploded in popularity and sophistication. This valuable technology can assist in authoring short and long-form content, producing audio and video, serving as a research assistant, and tons of other professional and personal tasks. Generative AI For Dummies is your roadmap to using the world of Artificial Intelligence (AI) to enhance your personal and professional lives. You'll learn how to identify the best platforms for your needs and write the prompts that coax out the content you want. Written by the best-selling author of ChatGPT For Dummies, this book is the ideal place to start when you're ready to fully dive into the world of Generative AI. Technically speaking, GenAI refers to a subset of Artificial Intelligence technologies that use sophisticated natural language processing (NLP), neural networks, and Machine Learning (ML) models to generate unique and humanlike content. It belongs to a classification of AI called Large Language Models (LLMs), which analyze huge amounts of data in numerous languages including human languages, computer code, math equations, and images. This book offers an easy-to-follow overview of the capabilities of Generative AI and how to incorporate them into any job. It's perfect for anyone who wants to add AI know-how into their work.