Название: Python 3 and Machine Learning Using ChatGPT / GPT-4
Автор: O. Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 286
Язык: английский
Формат: pdf (true), epub (true)
Размер: 21.8 MB, 30.3 MB

This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in Data Science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of Machine Learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in data visualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text. The Chapter 1 introduces you to Pandas and provides code samples that illustrate some of its useful features. If you are familiar with these topics, skim through the material and peruse the code samples, just in case they contain information that is new to you. The first part contains a brief introduction to Pandas. This section contains code samples that illustrate some features of Pandas DataFrames and a brief discussion of series, which are two of the main features of Pandas.

Название: Fortran: A Comprehensive Programming Guide for 2024
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 534
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.4 MB

Dive into the world of Fortran with "Fortran: A Comprehensive Programming Guide for 2024," the definitive resource for mastering one of the most enduring programming languages. Designed for both beginners and seasoned programmers, this guide offers a thorough exploration of Fortran's capabilities and its modern applications. In the ever-evolving landscape of programming languages and computing technologies, one might question the relevance of a language developed over six decades ago. Yet, Fortran stands as a testament to timeless engineering and innovation, continuing to power scientific discoveries, high-performance computing applications, and the backbone of legacy systems worldwide. This book, "Fortranis a journey through this remarkable language, catering to both novices discovering Fortran for the first time and seasoned programmers looking to refine their expertise. The primary aim of this book is to bridge the knowledge gap between the classical roots of Fortran and the dynamic demands of modern computing. From understanding the humble beginnings and evolution of Fortran in Chapter 1, through mastering basic and advanced syntax and constructs in Chapters 2 and 3, this book lays a solid foundation. Chapters 4 and 5 delve into numerical methods and scientific computing, underscoring why Fortran remains the language of choice for computation-heavy tasks and high-performance applications.

Название: Python Made Easy A First Course in Computer Programming using Python
Автор: Kevin Wilson
Издательство: Elluminet Press
Год: 2024
Страниц: 702
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Python Made Easy: A First Course in Computer Programming is a full color, step by step, hands-on introduction to the world of computer programming using Python. With a focus on practical application, this book is designed to equip anyone seeking an interactive introduction to Python with the essential skills and knowledge needed to start their programming journey. This book adopts a "learn by doing" approach, providing a rich set of lab exercises at the end of each section and larger programming projects for you to try. By actively engaging with coding exercises along with step-by-step guidance, illustrations, and video demos, you'll develop a solid understanding of Python and build your skills. Python Made Easy: A First Course in Computer Programming using Python is the ideal companion for anyone seeking an interactive introduction to Python programming. Whether you are a student, an aspiring programmer, or a professional from a non-technical background, this book will empower you to master the fundamentals of Python and the world of computer programming.

Название: Разработка чат-ботов и разговорных интерфейсов (Практическое руководство по разработке чат-интерфейсов)
Автор: Джанарсанам С.
Издательство: ДМК Пресс
Год: 2019
Cтраниц: 340
Формат: pdf (ocr)
Размер: 16 мб
Язык: русский

В книге рассказывается о работе диалоговых интерфейсов как способе взаимодействия машины с людьми на естественном языке. Вы научитесь разрабатывать чат-боты для выполнения различных прикладных задач с помощью платформ Microsoft Bot Framework, DialogFlow и Twilio, а также изучите механизмы развертывания чат-ботов на платформах мессенджеров типа Facebook.

Название: Python Polars: The Definitive Guide: Blazingly Fast Data Analysis (Fourth Early Release)
Автор: Jeroen Janssens, Thijs Nieuwdorp
Издательство: O’Reilly Media, Inc.
Год: 2024-05-23
Страниц: 468
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Want to speed up your data analysis and work with larger-than-memory datasets? Python Polars offers a blazingly fast, multithreaded, and elegant API for data loading, manipulation, and processing. With this hands-on guide, you'll walk through every aspect of Polars and learn how to tackle practical use cases using real-world datasets. Jeroen Janssens and Thijs Nieuwdorp from Xomnia in Amsterdam show you how this superfast DataFrame library is perfect for efficient data wrangling, ETL pipelines, and so much more. This book helps you quickly learn the syntax and understand Polars' underlying concepts. You don't need to have experience with pandas or Spark, but if you do, this book will help you make a smooth transition.

Название: jаvascript. A Comprehensive manual for creating dynamic, responsive websites and applications: Suitable For Both Novice And Experts
Автор: Ibrahim Nugwa Abdulrazak
Издательство: Noogul Digital Services
Год: 2024
Страниц: 1555
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This book shows off jаvascript's potential for developing web applications by mixing in-depth theory instruction with enjoyable assignments that will push your limits. To gain a thorough knowledge of the ideas, you can experiment with them in your own editor or browser console as you learn them. Basic programming concepts, including variables, arrays, objects, functions, conditionals, loops, classes, and more, will be covered first. Building on this foundation, you'll combine jаvascript with HTML and CSS to create interactive web applications that you can use immediately away, with the help of interesting examples and practical exercises. The fundamentals of the jаvascript language will be used to help you learn how to create your own scripts from scratch, which will make the script-writing process easier. Detailed examples and scripts explaining how to combine jаvascript with Google Apps script were provided in Chapters Sixteen and Seventeen. Creating and releasing add-ons for Google Sheets, Docs, and Forms on an online shop is made simple using Apps Script. It functions as a unified platform for creating, coding, and eventually sharing apps on the web store. This tutorial is designed for the aspiring Web Designers and Developers with a need to understand jаvascripting in enough detail along with its simple overview, and practical examples. This tutorial will give you enough ingredients to start with jаvascript from where you can take yourself at higher level of expertise.

Название: Construct, Merge, Solve & Adapt: A Hybrid Metaheuristic for Combinatorial Optimization
Автор: Christian Blum
Издательство: Springer
Серия: Computational Intelligence Methods and Applications
Год: 2024
Страниц: 202
Язык: английский
Формат: pdf (true), epub
Размер: 30.7 MB

This book describes a general hybrid metaheuristic for combinatorial optimization labeled Construct, Merge, Solve & Adapt (CMSA). The general idea of standard CMSA is the following one. At each iteration, a number of valid solutions to the tackled problem instance are generated in a probabilistic way. Hereby, each of these solutions is composed of a set of solution components. The components found in the generated solutions are then added to an initially empty sub-instance. Next, an exact solver is applied in order to compute the best solution of the sub-instance, which is then used to update the sub-instance provided as input for the next iteration. In this way, the power of exact solvers can be exploited for solving problem instances much too large for a standalone application of the solver. Important research lines on CMSA from recent years are covered in this book. After an introductory chapter about standard CMSA, subsequent chapters cover a self-adaptive CMSA variant as well as a variant equipped with a learning component for improving the quality of the generated solutions over time. Furthermore, on outlining the advantages of using set-covering-based integer linear programming models for sub-instance solving, the author shows how to apply CMSA to problems naturally modelled by non-binary integer linear programming models. First of all, note that all approaches described in this book were implemented in C++ and compiled with one of the latest GNU compilers. Moreover, as ILP solver we used CPLEX version 22.1, if not otherwise stated. The book will be valuable and is intended for researchers, professionals and graduate students working in a wide range of fields, such as combinatorial optimization, algorithmics, metaheuristics, mathematical modeling, evolutionary computing, operations research, Artificial Intelligence, or statistics.

Название: Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement
Автор: Teena Sharma, Nishchal K. Verma
Издательство: Springer
Серия: Algorithms for Intelligent Systems
Год: 2024
Страниц: 158
Язык: английский
Формат: pdf (true)
Размер: 10.5 MB

Artificial Intelligence (AI) has introduced a range of effective image processing tools that play a pivotal role in fortifying vision-based applications. The success of these applications hinges on the quality of input images, particularly those containing intricate textural details. The merit of an image is typically gauged through visible aspects such as illumination, color, and shapes, all of which can be adversely impacted by atmospheric factors like haze and uneven illumination. When haze particles are present, they impede the transmission of reflected light rays to the observer, resulting in an elevation of airlight and causing the image to exhibit a hazy appearance. Conversely, non-uniform illumination conditions contribute to a darkened depiction of the captured scene, leading to the obscuring of visible features. Consequently, image enhancement emerges as a crucial preliminary step, aiming to revive textural intricacies and refine image details. This enhancement process proves indispensable in bolstering the resilience of vision-based applications, ensuring their optimal performance even in challenging environmental circumstances. This book provides a detailed explanation of AI algorithms for image dehazing and non-uniform illumination enhancement. It outlines unsupervised and supervised methods with their advantages and limitations. The structure of this book will be helpful for a reader first to understand the unsupervised methods considering the scenario when it is impractical to have a large set of datasets for training an AI algorithm for image enhancement. Since there have been extensive advancements in Deep Learning methods and the availability of resources, this book provides a detailed insight into the run-time and accuracy adjustments of deep learning-based AI algorithms to learn the pattern better while performing enhancement.

Название: Microsoft Visual C# Step by Step (Developer Reference), 10th Edition
Автор: Sharp John
Издательство: Microsoft Press
Год выхода: 2022
Страниц: 833
Формат: True PDF
Размер: 134 MB
Язык: английский

Your hands-on guide to Visual C# fundamentals with Visual Studio 2022
Expand your expertise—and teach yourself the fundamentals of programming the latest version of Visual C# with Visual Studio 2022. This book provides software developers all the guidance, exercises, and code needed to start building responsive, scalable, cloud-connected applications that can run almost anywhere.

Название: Metaheuristics for Enterprise Data Intelligence
Автор: Kaustubh Vaman Sakhare, Vibha Vyas, Apoorva S Shastri
Издательство: CRC Press
Серия: Advances in Metaheuristics
Год: 2025
Страниц: 159
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

With the emergence of the Data Economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decision making. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cyber security, networking, supply chain management, manufacturing and so on. Optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include Genetic Algorithms, Differential Evolution, Ant Colony Optimization, Particle Swarm Optimization, Artificial Bee Colony, Grey Wolf Optimizer, Political Optimizer, Cohort Intelligence, League Championship Algorithm, and many more. This book provides a systematic discussion of AI-based Metaheuristics application in a wide range of areas including Big Data Intelligence, Predictive Analytics, Enterprise Analytics, Graph Optimization Algorithms, Machine Learning and Ensemble Learning, Computer Vision Enterprise Practices, Data Benchmarking and more.