Название: Neural Network Algorithms and Their Engineering Applications
Автор: Chao Huang, Hailong Huang, Yiying Zhang
Издательство: Morgan Kaufmann/Elsevier
Год: 2025
Страниц: 244
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Neural Network Algorithms and Their Engineering Applications presents the relevant techniques used to improve the global search ability of neural network algorithms in solving complex engineering problems with multimodal properties. The book provides readers with a complete study of how to use artificial neural networks to design a population-based metaheuristic algorithm, which in turn promotes the application of artificial neural networks in the field of engineering optimization. The authors provide a deep discussion for the potential application of Machine Learning methods in improving the optimization performance of the neural network algorithm, helping readers understand how to use Machine Learning methods to design improved versions of the algorithm. Users will find a wealth of source code that covers all applied algorithms. Code applications enhance readers' understanding of methods covered and facilitate readers' ability to apply the algorithms to their own research and development projects.

Название: Automating Cybersecurity With Python
Автор: Riley Macaulay
Издательство: Riley Macaulay
Год: 2024
Формат: pdf
Страниц: 168
Размер: 20,11 Мб
Язык: английский

Drowning in Repetitive Security Tasks? Automate Your Way Out with Python! Imagine Albert, a cybersecurity analyst crushed by endless logs, server configs, and manual scans. Strategic defense? A distant dream. Then, Python entered her scene. With a few lines of code, Albert automated the mundane. Scripts scanned networks, analyzed logs, and deployed updates – all while he focused on real threats. Success bred success. The entire team embraced Python, freeing them to become proactive hunters. Attacks plummeted, replaced by a culture of strategic defense.

Название: Учись писать, читать и понимать алгоритмы: Алгоритмы для правильного мышления, Основы алгоритмизации
Автор: Владимир Паронджанов
Издательство: Москва
Год: 2012
Формат: pdf/djvu
Размер: 31 Мб
Cтраниц: 520, ил.
Язык: русский

Излагаются новые полезные для практики идеи и достижения, помогающие легко и быстро освоить алгоритмы. Дается систематизированное изложение основных понятий и методов алгоритмизации.

Название: Natural Language Processing with Python Updated Edition: From Basics to Advanced Projects: Mastering Text Analysis, Machine Learning Models, and Chatbot Development (Mastering the AI Revolution)
Автор: Cuantum Technologies
Издательство: Cuantum Technologies
Год: 2024
Страниц: 599
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 20.7 MB

Are you fascinated by the power of language and eager to harness its potential using cutting-edge technology? Do you want to transform raw text data into valuable insights, build intelligent systems, and stay ahead in the rapidly evolving field of Natural Language Processing (NLP)? Look no further! this book is here to equip you with the knowledge and skills you need to excel in NLP. The purpose of this book is to provide a comprehensive, hands-on guide to Natural Language Processing using Python. NLP is a vast and complex field, and our aim is to cover a broad spectrum of topics, from the basics to advanced techniques, in a way that is both accessible and practical. This book aims to provide a practical and hands-on approach to starting with Mastering the Creative Power of AI. Whether you are a beginner without programming experience or an experienced programmer looking to expand your skills, this book is designed to help you develop your skills and build a solid foundation in Generative Deep Learning with Python.

Название: Mastering NumPy: The Ultimate Guide to Data Manipulation in Python
Автор: Muslum Yildiz
Издательство: Independently published
Год: October 21, 2024
Страниц: 280
Язык: английский
Формат: epub
Размер: 40.6 MB

Step into the future of data science and artificial intelligence with "Mastering NumPy: The Ultimate Guide to Data Manipulation in Python". This book is not just another technical guide; it’s your gateway to unlocking the full power of NumPy, the engine behind Python’s dominance in data processing, AI, and scientific computing. Whether you're a novice or a seasoned professional, this comprehensive resource takes you on a journey from mastering the basics to understanding the most advanced features of NumPy. Imagine transforming massive datasets, running complex computations, and building sophisticated AI models—all with the unparalleled speed and efficiency that NumPy provides. The book covers essential topics such as array manipulations, matrix operations, vectorized calculations, and advanced statistical functions, all designed to enhance your understanding of data manipulation in Python. Each chapter is packed with real-world examples, hands-on exercises, and expert insights that will deepen your mastery of NumPy. From array slicing and indexing to performing statistical analysis and random matrix generation, this guide is your key to becoming a NumPy expert.

Название: Mobile Applications Development: with Python in Kivy Framework, 2nd Edition
Автор: Tarkeshwar Barua, Ruchi Doshi, Kamal Kant Hiran
Издательство: De Gruyter
Год: 2025
Страниц: 438
Язык: английский
Формат: pdf (true), epub
Размер: 63.8 MB

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. This second revised and updated edition covers the most recent developments in Kivy since the publishing of the first edition. Python is a very popular and widely used general-purpose, interpreted, and object-oriented programming (OOP) language that lets you work quickly and integrate systems. It has efficient high-level data structures and a dynamic-type system, and its memory management is done automatically with multiple programming paradigms such as imperative, functional, and procedural. Programs can be created to automate various tasks. Python is the most accessible programming language to be learned quickly in a short period. It can develop any application such as Desktop, Web application,, and utility tools, with the help of a wide range of frameworks and libraries available with minimum coding. Kivy is an open-source software library for rapid development of applications equipped with novel user interfaces, such as multitouch apps.

Название: Process Control with MATLAB/Simulink: A Guide for Beginners
Автор: Francisco Javier Rivas
Издательство: Cambridge Scholars Publishing
Год: 2025
Страниц: 306
Язык: английский
Формат: pdf (true)
Размер: 24.1 MB

This book aims to serve as an academic manual designed to aid in understanding and applying key concepts in process control using MATLAB and its associated tools. Each chapter features a brief theoretical introduction to help students contextualize the step-by-step solved problems, which are coded in MATLAB. In some instances, the book also covers the use of Simulink and other MATLAB applications, such as System Identification, Control System Designer, and Response Optimizer. The manual seeks to strengthen knowledge in control theory through problem-based learning, which is essential in this field. The text progresses from basic concepts in classical control, such as linearization, Laplace transform, transfer function, and frequency response, to more advanced control theories like state-space representation and discrete control. Throughout, basic examples are solved to significantly enhance the understanding of concepts and their application to real-world systems. MATLAB stands as a cornerstone in the realm of process control teaching, empowering students and educators alike with a comprehensive suite of tools for modeling, analysis, and implementation of control systems. The integration of MATLAB into the curriculum has revolutionized the way process control concepts are taught and understood, offering a dynamic platform for exploration and experimentation.

Название: C++ for Beginners: Understand Core C++ Concepts with Practical Examples
Автор: Eleanor Nash
Издательство: Independently published
Год: 2025
Страниц: 135
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Are you just beginning your journey in the field of programming and seeking the perfect language to present yourself? C++ for Beginners: Your First Programming Language Explained is your all-inclusive manual for understanding the ideas of the programming language C++ in an orderly and methodical way. Designed for people who have never heard of programming at all, this book will walk you through basic concepts and offer you samples to enable you to acquire practical programming skills. Every chapter will have practical assignments meant to support your knowledge retention. Among other things, these drills address building your programming environment, mastering variables, loops, and functions, and more. Essential abilities for producing code that is both efficient and structured are object-oriented programming (OOP), dynamic memory management, and error handling-all of which you will acquire throughout this course. Unlike other technical books crammed with jargon, this guidebook simplifies C++ by offering explanations that are clear-cut and real-world applications utilized in comparison. You will have completed a mini-project including all you have learned by the end of the course, which will boost your confidence to handle more difficult programming tasks. If you are ready to start down the road of computer programming, the book "C++ for Beginners" is a great place to start.

Название: Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications
Автор: Toufik Mzili, Adarsh Kumar Arya, Dragan Pamucar, Momina Shaheen
Издательство: IGI Global
Год: 2025
Страниц: 620
Язык: английский
Формат: pdf (true), epub
Размер: 39.0 MB

Optimization, Machine Learning, and fuzzy logic are fundamental in the field of Computational Intelligence (CI), each contributing to solving complex problems across various domains. Optimization techniques focus on finding the best solutions to problems by improving efficiency and minimizing resources. Machine Learning enables systems to learn from data, making predictions or decisions without being programmed. Fuzzy logic deals with uncertainty and imprecision, allowing for flexible decision-making processes. Together, these theories, algorithms, and applications solve challenges in fields such as engineering, finance, and healthcare, where traditional methods often fall short. Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications explores optimization techniques, fuzzy logic, and their integration with Machine Learning. It covers fundamental concepts, mathematical foundations, algorithms, and applications, providing a holistic understanding of these domains. This book covers topics such as disease detection, Deep Learning, and text analysis, and is a useful resource for engineers, data scientists, medical professionals, academicians, and researchers.

Название: REST APIs Step by Step. A Practical Guide with Examples
Автор: William E. Clark
Издательство: NOBTREX LLC
Год: 2024
Формат: pdf, fb2, epub
Страниц: 387
Размер: 11.3 Мб
Язык: английский

REST APIs Step by Step: A Practical Guide with Examples provides a comprehensive introduction to designing, building, and maintaining RESTful web APIs for real-world applications. Covering the essential principles of REST architecture, HTTP fundamentals, and data exchange formats, the book offers a structured approach to understanding the mechanics and rationale behind effective API development. Through concise explanations and illustrative examples, readers gain clarity on how core API components interact and why best practices matter.