Название: Neural Networks with Python: Design CNNs, Transformers, GANs and capsule networks using Tensorflow and Keras
Автор: Mei Wong
Издательство: GitforGits
Год: November 2023
Страниц: 253
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

"Neural Networks with Python" serves as an introductory guide for those taking their first steps into neural network development with Python. It's tailored to assist beginners in understanding the foundational elements of neural networks and to provide them with the confidence to delve deeper into this intriguing area of Machine Learning. In this book, readers will embark on a learning journey, starting from the very basics of Python programming, progressing through essential concepts, and gradually building up to more complex neural network architectures. The book simplifies the learning process by using relatable examples and datasets, making the concepts accessible to everyone. You will be introduced to various neural network architectures such as Feedforward, Convolutional, and Recurrent Neural Networks, among others. Each type is explained in a clear and concise manner, with practical examples to illustrate their applications. The book emphasizes the real-world applications and practical aspects of neural network development, rather than just theoretical knowledge. By the end of your journey with this book, you will have a foundational understanding of neural networks within the Python ecosystem and be prepared to apply this knowledge to real-world scenarios.

Название: Command Line Git : Everything you need to know to get started: Illustrated guide to Git with useful mental models and exercises
Автор: Maksim Ivanov
Издательство: Leanpub
Год: 2023-10-09
Страниц: 190
Язык: английский
Формат: pdf (true), epub + Extra
Размер: 16.7 MB

This book explains how to use Git from command line on Windows, Mac OS and Linux. The goal of this book is to get you up and running using Git from the command line as quickly as possible without overwhelming you with too much information. To make the learning process more intuitive and engaging, I use mental models, analogies and metaphors to help you understand and remember the concepts. I also use diagrams and illustrations. They help you visualize complex ideas and also serve as a bit of entertainment to keep you engaged. At the end of each chapter, you will find exercises that are crafted to reinforce the concepts you have just learned. These exercises are hands-on tasks that allow you to apply the new knowledge. By practicing what you learn, you understand the topics better and solidify the information in your memory. It is important to do the exercises. They will help you learn Git faster. Why Use the Command Line? Git has many applications with graphical user interfaces (GUI). Some of them are very good. So why use the command line? I believe using Git from the command line is the best way to learn it. It’s also the most flexible way to use it. You won’t be limited to a particular GUI application or an editor plugin. You will be able to use Git from a remote server, from a virtual machine or from a Docker container. So you’ll be a lot more powerful.

Название: Generative Adversarial Networks in Practice
Автор: Mehdi Ghayoumi
Издательство: CRC Press
Год: 2024
Страниц: 671
Язык: английский
Формат: pdf (true)
Размер: 30.0 MB

This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts. In recent decades, machines have played a significant role in making human life more comfortable. Machine Learning (ML) is currently one of the most advanced and popular subjects, with numerous applications across various fields. Making machines smarter to better assist humans is a challenge that many enjoy solving, and researchers are working toward this goal, continuously seeking ways to enhance machine intelligence. Numerous algorithms and techniques have been discovered and developed in this field, some traditional, such as Support Vector Machine (SVM) or Decision Tree (DT), and some novel, such as Deep Learning. These methods and studies form part of Machine Learning, an area of Computer Science that has recently piqued both academic and industry interests. Generative Adversarial Networks (GANs) are one of the most exciting and recently developed Deep Learning methods, showing several promising results in generating new data from existing data. They have a wide range of applications, which we will discuss in this book, along with information about their architectures and methods, as well as step-by-step instructions for implementing them.

Название: Python Bees: Python For Granny
Автор: Williams Asiedu
Издательство: Ouereila Publishing House
Год: 2023
ASIN:‎ B0C865WRLV
Страниц:‎ 322
Формат: PDF, EPUB
Размер: 55 Mб
Язык: English

An all-encompassing Python programming guide meticulously crafted for novices to seasoned professionals. This comprehensive book features a well-organized structure, offering simple tutorials and an abundance of programming examples. These examples serve as invaluable tools, facilitating a deeper and more comprehensive comprehension of the language at every skill level

Название: A Beginner's Guide to Python for Data Analysis
Автор: Henry Harvin
Издательство: India Education LLP
Год: 2023
Страниц: 281
Язык: английский
Формат: epub (true)
Размер: 48.2 MB

Want complete instructions on the Python library and its elements? Get solutions with practical case studies and implications of Python in data analysis through this book. “A Beginner's Guide to Python for Data Analysis” will help you to learn about the different aspects of Python along with its implementation in data analysis in different industries. The AI Sciences Books cover every area of Artificial Intelligence and Data Science utilizing Computer Science programming languages such as Python and R. The books are written by leading experts in the field and provide a comprehensive guide for beginners as well as advanced learners. They also include practical examples and exercises to reinforce learning. Our books may be the finest for beginners; it's a step-by-step tutorial for anyone who wants to learn Artificial Intelligence and Data Science from the ground up. It will aid you in laying a firm basis for learning any other high-level courses. The book contains detailed instructions for manipulating, processing, cleaning, modeling, and crunching datasets in Python. This is a hands-on guide with real case studies on data analysis challenges. In the Process, you will learn pandas, NumPy, IPython, and Jupiter. The guide is suitable for beginners who want to learn data analysis or for professionals who want to refresh their skills. By the end of the guide, you will have a solid understanding of data analysis techniques and tools.

Название: Теория информации. Лабораторный практикум в MATLAB
Автор: А.И. Приходько
Издательство: Инфра-Инженерия
Год: 2022
Страниц: 108
Язык: русский
Формат: pdf
Размер: 20.7 MB

Приводятся основные положения теории информации. Содержатся теоретические сведения, расчетные задания с примерами m-файлов, а также методические указания и контрольные вопросы. Основные разделы теории информации — кодирование источника (сжимающее кодирование) и канальное (помехоустойчивое) кодирование. Теория информации тесно связана с информационной энтропией, коммуникационными системами, криптографией и другими смежными дисциплинами. Для студентов, обучающихся по направлениям подготовки «Инфокоммуникационные технологии и системы связи» и «Радиотехника». Может быть полезно преподавателям.

Название: Oracle Cloud Infrastructure: A Guide to Building Cloud Native Applications
Автор: Jeevan Gheevarghese Joseph, Adao Oliveira Junior, Mickey Boxell
Издательство: Oracle Press/Pearson Education
Год: 2024
Страниц: 448
Язык: английский
Формат: epub (true)
Размер: 31.0 MB

Cloud native development is a modern approach to designing, building, deploying, and managing applications. This approach takes advantage of the benefits of utility computing from providers, such as Oracle Cloud Infrastructure (OCI), and emphasizes automation, elasticity, and resilience. OCI is a next-generation cloud designed to run any application faster and more securely for less. It includes the tools used to build new cloud native applications and to run existing enterprise applications without rearchitecting them. Whether you are new to the cloud or just new to OCI, this book provides an overview of the OCI services needed to build cloud native applications. The users service is built in TypeScript using the NestJS framework, which uses progressive jаvascript to build efficient Node.js server applications. It also uses TypeORM, which is an Object Relational Mapper for TypeScript and jаvascript. Oracle DB connectivity is enabled by the official node-oracledb package from Oracle, for Node.js. This book is written for developers, DevOps professionals, architects, or anyone who wants to understand the various developer-focused features of OCI.

Название: Learning Google Cloud Vertex AI: Build, deploy, and manage machine learning models with Vertex AI
Автор: Hemanth Kumar K.
Издательство: BPB Publications
Год: 2024
Страниц: 387
Язык: английский
Формат: epub (true)
Размер: 31.5 MB

Learn how to build an end-to-end data to AI solution on Google Cloud using Vertex AI. Google Cloud Vertex AI is a platform for Machine Learning (ML) offered by Google Cloud, with the objective of making the creation, deployment, and administration of ML models on a large scale easier. If you are seeking a unified and collaborative environment for your ML projects, this book is a valuable resource for you. This comprehensive guide is designed to help data enthusiasts effectively utilize Google Cloud Platform's Vertex AI for a wide range of machine learning operations. It covers the basics of the Google Cloud Platform, encompassing cloud storage, big query, and IAM. Subsequently, it delves into the specifics of Vertex AI, including AutoML, custom model training, model deployment on endpoints, development of Vertex AI pipelines, and the Explainable AI feature store. By the time you finish reading this book, you will be able to navigate Vertex AI proficiently, even if you lack prior experience with cloud platforms. With the inclusion of numerous code examples throughout the book, you will be equipped with the necessary skills and confidence to create machine learning solutions using Vertex AI.

Название: Python for Machine Learning: From Fundamentals to Real-World Applications
Автор: Kameron Hussain, Frahaan Hussain
Издательство: Sonar Publishing
Год: November 10, 2023
Страниц: 362
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

"Python for Machine Learning: From Fundamentals to Real-World Applications" is your comprehensive roadmap to mastering Machine Learning with Python. Whether you're a beginner looking to enter the exciting world of Data Science or an experienced programmer aiming to delve deeper into Machine Learning, this book provides you with the knowledge and practical skills needed to excel in the field. Starting with the fundamentals, you'll learn the essential concepts of Machine Learning and get a solid grasp of Python programming. As you progress, you'll explore the core Machine Learning algorithms, data preprocessing techniques, and Python libraries that are crucial for building predictive models. From linear regression and decision trees to neural networks and Deep Learning, this book covers a wide range of Machine Learning topics. Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to learn and make predictions or decisions without being explicitly programmed.

Название: .NET 7 Design Patterns In-Depth: Enhance code efficiency and maintainability with .NET Design Patterns
Автор: Vahid Farahmandian
Издательство: BPB Publications
Год: 2023
Страниц: 556
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Design patterns in .NET improve code quality, encourage collaboration, and address common software design issues, resulting in more efficient and effective software development projects. This book is an ideal resource for those seeking to learn about design patterns in .NET and their practical application. The book highlights the importance of design patterns in solving software design challenges. It then proceeds to explore creational design patterns, which primarily address object creation, followed by structural design patterns that handle object composition and organization. Furthermore, the book delves into behavioral design patterns, which center around the interaction and communication between objects. It also covers domain logic design patterns, data source architectural design patterns, object-relational behaviors, structures, and metadata mapping design patterns. Moving on, the book provides insights into web presentation design patterns, offering guidance on the effective design of web interfaces. It also examines distribution design patterns, offline concurrency design patterns, and session state design patterns. Lastly, the book presents base design patterns as fundamental building blocks for other patterns. Upon completion of this book, you will possess the knowledge and skills required to design and implement suitable software infrastructures using design patterns, .NET 7.0, and the C# programming language.