Название: Графовые алгоритмы. Практическая реализация на платформах Apache Spark и Neo4j
Автор: Нидхем М., Холдер Э.
Издательство: ДМК Пресс
Год: 2020
Cтраниц: 260, цвет. и ч/б ил.
Формат: pdf (ocr)
Размер: 19 мб
Язык: русский

Каждую секунду во всем мире собирается и динамически обновляется огромный объем информации. Графовые алгоритмы, которые основаны на математике, специально разработанной для изучения взаимосвязей между данными, помогают разобраться в этих гигантских объемах. И, что особенно важно в наши дни, они улучшают контекстную информацию для искусственного интеллекта.

Название: Deep Learning via Rust: State of the Art Deep Learning in Rust
Автор: Evan Pradipta Hardinatha, Jaisy Arasy, Idham Hanif Multazam
Издательство: RantAI Academy
Серия: Semi-Numerical Series Book 2
Год: December 22, 2024
Страниц: 109
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

"Deep Learning via Rust" or DLVR offers a comprehensive exploration of Deep Learning concepts and techniques through the lens of the Rust programming language, known for its performance and safety. The book begins by establishing a strong foundation in Deep Learning principles, mathematical underpinnings, and introduces essential Rust libraries for Machine Learning. It then delves into a wide array of neural network architectures, including CNNs, RNNs, Transformers, GANs, and emerging models like diffusion and energy-based models, providing both theoretical insights and practical implementations. Advanced topics such as hyperparameter optimization, self-supervised learning, reinforcement learning, and model interpretability are thoroughly examined to enhance model performance and understanding. The later sections focus on building, deploying, and scaling Deep Learning models in Rust across various applications like computer vision, natural language processing, and time series analysis, while also addressing scalable and distributed training techniques. Finally, the book explores current and emerging trends in the field, including federated learning, quantum machine learning, etc.

Название: Calculus with Python
Автор: Hyun-seok Son
Издательство: Independently published
Год: December 20, 2024
Страниц: 745
Язык: английский
Формат: pdf
Размер: 28.6 MB

This book mainly uses Python's sympy module to understand the concepts of limits, differentiation, and integrals and introduces various calculation methods. Limits and calculus are used to implicitly express the changes and meaning of functions. Understanding the process of unraveling its implications is a necessary part of deepening the understanding of calculus and smoothing its application. This process can be explained in more detail using the programming language Python. Many examples are covered in the introduction to functions, limits, and calculus, and their solution processes are presented mathematically and actual calculations are performed using a Python program. Using the program mostly follows a similar process and requires basic knowledge of installing Python and writing code. However, the basic concepts and calculation processes of limits and calculus are explained without applying Python, so you can understand the contents without writing code.

Название: Linear Algebra with Python
Автор: Hyun-seok Son
Издательство: Independently published
Год: December 20, 2024
Страниц: 457
Язык: английский
Формат: pdf
Размер: 20.8 MB

Linear algebra, which provides the basic theory for utilizing vectors and matrices, provides many algorithms to increase the accuracy and speed of calculations in the computing process for data analysis and to discover the characteristics of the data set. These algorithms are very useful for understanding probability, statistics, and computing applied to learning machines. This book introduces many basic aspects of linear algebra using Python packages such as NumPy and SymPy. Chapters 1 and 2 introduce the creation and characteristics of vectors and matrices. These characteristics are advantageous for various characteristics and calculations of functions by connecting linear functions with vectors or matrices. This part is introduced in Chapter 3. The process of converting a function to another function while maintaining its basic characteristics is covered in Chapter 4. This transformation can convert and apply complex functions to a simpler form. This transformation is called decomposition and is introduced in Chapter 5. In this process, various Python functions and packages are applied and their descriptions are attached in the appendix.

Название: Designing Data intensive application in Python
Автор: Aarav Joshi
Издательство: 101 Books
Год: December 20, 2024
Страниц: 417
Язык: английский
Формат: pdf
Размер: 33.3 MB

Data is growing at an unprecedented rate, driven by advancements in technology, the proliferation of connected devices, and the rise of digital transformation. Every second, organizations generate vast amounts of data from diverse sources—social media, IoT sensors, e-commerce platforms, and more. This explosion of data brings immense opportunities for innovation, but it also presents significant challenges. To harness its potential, we must adopt best practices to handle data effectively, ensuring reliability, scalability, and security. Mishandling data can lead to inefficiencies, inaccuracies, and security vulnerabilities. Best practices, such as implementing robust data pipelines, ensuring consistency across systems, and prioritizing fault tolerance, are essential for building scalable and dependable data-intensive applications. Python has emerged as a preferred language for data-intensive applications due to its simplicity, extensive library ecosystem, and versatility. Libraries like Pandas, Dask, PySpark, and TensorFlow empower developers to process, analyze, and visualize data at scale efficiently.

Название: Line-of-Business Mobile Apps with Flutter and Dart
Автор: Isaac Lyman
Издательство: newline
Год выхода: 2025
Страниц: 242
Формат: True PDF, True ePUB
Размер: 29,5 MB
Язык: английский

Distribute and Deploy to iOS and Android from a Single Codebase
Flutter is a popular cross-platform development framework. It’s packed with off-the-shelf features and focused on developer ergonomics, which means you can build faster and deploy to more platforms with fewer dependencies. Some parts of the framework will catch you by surprise, though, especially if you’re used to developing for the web or writing native apps. This course will walk you through the creation of a Flutter app from setup to final package and help you develop a mental model that will carry you through the most common problems Flutter devs encounter.

Название: Python Data Visualization Using Plotly Framework: Explore Plotly To Create Stunning Visualizations And Uncover Insights From Your Data
Автор: Stephen G Schmitt
Издательство: Independently published
Год: October 6, 2024
Страниц: 204
Язык: английский
Формат: epub
Размер: 10.1 MB

Python is of the most popular and versatile programming languages in the tech industry. However, despite their popularity and versatility, mastering them can be challenging, especially for beginners. Technical challenges such as debugging and tight deadlines can cause stress and anxiety, and career advancement and staying up to date with the latest developments in the field can be daunting. The Plotly Python library is an interactive open-source library. This can be a very helpful tool for data visualization and understanding the data simply and easily. plotly graph objects are a high-level interface to plotly which are easy to use. It can plot various types of graphs and charts like scatter plots, line charts, bar charts, box plots, histograms, pie charts, etc.

Название: Machine Learning Via Rust: Machine Learning Using Rust
Автор: Evan Pradipta Hardinatha, Jaisy Malikulmulki Arasy, Chevan Walidain
Издательство: RantAI Academy
Серия: Semi-Numerical Series Book 1
Год: October 14, 2024
Страниц: 142
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

"MLVR - Machine Learning via Rust" is a groundbreaking textbook that combines the theoretical rigor of machine learning with the modern capabilities of the Rust programming language. Tailored for both students and professionals, this book offers a comprehensive and practical approach to mastering machine learning, with a strong emphasis on performance, safety, and concurrency—core strengths of Rust. Covering everything from classical models like linear regression and neural networks to advanced techniques such as AutoML and reinforcement learning, "MLVR" provides clear explanations, step-by-step coding guides, and real-world applications. By the end of this book, readers will be well-equipped to implement, optimize, and deploy machine learning models effectively using Rust, making it an essential resource for those looking to advance their skills in this evolving field.

Название: The Rust Programming Language
Автор: Evan Pradipta Hardinatha, Jaisy Malikulmulki Arasy, Chevan Walidain
Издательство: RantAI Academy
Серия: Non-Numerical Series Book 1
Год: September 17, 2024
Страниц: 243
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Your comprehensive guide to mastering Rust. This book takes you on a journey through Rust’s core principles and advanced features, combining practical examples with thorough theoretical insights to empower you to write efficient, safe, and concurrent software. Whether you’re an aspiring systems programmer or a seasoned developer, TRPL is designed to deepen your understanding and refine your skills in modern systems programming. With over 400 thoughtfully crafted prompts, this book embraces a new era of learning, integrating the power of AI to enhance your educational experience. Explore Rust’s capabilities and unlock new possibilities with this innovative approach to programming education.

Название: A Holistic View of Software and Enterprise Architecture
Автор: Philip Keep Carter
Издательство: Christian Faith Publishing
Год: December 17, 2024
Страниц: 240
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

In the dynamic realm of software development, specialization often creates silos, leaving professionals proficient in one area but lacking in others. A Holistic View of Software and Enterprise Architecture transcends these boundaries, offering a unified perspective on the intricate landscape of software and enterprise systems. This book comprehensively explores essential topics, covering administrative functions such as software methodologies, lifecycles, and roles alongside architectural concepts like data, software, and enterprise architecture. It compares monolithic, microservices, Data Fabric, and Data Mesh to understand how they can all be put on the same playing field. In the Chapter 1, we'll take a closer look at some of the most commonly used software development methodologies, including the Waterfall Model, Agile Methodology, DevOps, Lean Development, Rapid Application Development (RAD), Spiral Model, Extreme Programming (XP), Feature-Driven Development (FDD), and SAFe Agile.