|
 |
|
 |
|
|
 |
|  |
|
 Название: Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python
Автор: Sulekha Aloorravi
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 310
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
Decode the language of time with Python. Discover powerful techniques to analyze, forecast, and innovate. "Mastering Time Series Analysis and Forecasting with Python" is an essential handbook tailored for those seeking to harness the power of time series data in their work. The book begins with foundational concepts and seamlessly guides readers through Python libraries such as Pandas, NumPy, and Plotly for effective data manipulation, visualization, and exploration. Offering pragmatic insights, it enables adept visualization, pattern recognition, and anomaly detection. Advanced discussions cover feature engineering and a spectrum of forecasting methodologies, including Machine Learning and Deep Learning techniques such as ARIMA, LSTM, and CNN. Additionally, the book covers multivariate and multiple time series forecasting, providing readers with a comprehensive understanding of advanced modeling techniques and their applications across diverse domains. | |
Разместил: Ingvar16 29-03-2024, 05:35 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
|
|
|
|
|
|
| |
|
 Название: Data Analytics & Visualization All-in-One For Dummies
Автор: Jack Hyman, Luca Massaron, Paul McFedries
Издательство: For Dummies
Год: 2024
Страниц: 835
Язык: английский
Формат: pdf (true), epub (true)
Размер: 39.8 MB, 27.3 MB
Install data analytics into your brain with this comprehensive introduction. Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling. Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one. You'll learn all about sources of data like data lakes, and you'll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau. You'll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level. With this Dummies guide, you'll be well on your way to becoming a priceless data jockey. Data Science is the person behind the partition in the experience of the wonderment of technology. Python is uniquely suited to making it easier to work with Data science. For one thing, Python provides an incredible number of math-related libraries that help you perform tasks with a less-than-perfect understanding of precisely what is going on. | |
Разместил: Ingvar16 28-03-2024, 21:31 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Enabling Microservice Success: Managing Technical, Organizational, and Cultural Challenges (Final)
Автор: Sarah Wells
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 300
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB
Microservices can be a very effective approach for delivering value to your organization and to your customers. If you get them right, microservices help you to move fast by making changes to small parts of your system hundreds of times a day. But if you get them wrong, microservices will just make everything more complicated. In this book, technical engineering leader Sarah Wells provides practical, in-depth advice for moving to microservices. Microservices are simple in concept, but the devil is in the details. There are so many aspects to getting the most out of this style of architecture, while also dealing with the complexity it brings. The problem is, getting the most out of microservices often is about nuance. The development of any software-based system requires people and technology coming together, and with microservices the people and organizational aspects are often greatly overlooked. People assume the answer must be a new programming language, more Kubernetes clusters, or perhaps a new vendor. But this approach results in an orgy of technological overload that ends up looking at less than half of the story. | |
Разместил: Ingvar16 28-03-2024, 20:50 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Recommender Systems: Frontiers and Practices
Автор: Dongsheng Li, Jianxun Lian, Le Zhang, Kan Ren
Издательство: Springer/House of Electronics Industry
Год: 2024
Страниц: 292
Язык: английский
Формат: pdf (true), epub
Размер: 25.0 MB
This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algorithms, and analyzes their advantages and limitations. Then, it addresses the fundamentals of Deep Learning, focusing on the deep-learning-based technology used, and analyzes problems arising in the theory and practice of recommender systems, helping readers gain a deeper understanding of the cutting-edge technology used in these systems. Lastly, it shares practical experience with Microsoft 's open source project Microsoft Recommenders. Readers can learn the design principles of recommendation algorithms using the source code provided in this book, allowing them to quickly build accurate and efficient recommender systems from scratch. The emergence of Deep Learning has greatly changed the development of recommendation technology, and it is necessary for researchers and technicians in the field of recommender systems to have a deep understanding of deep learning-based recommendation technology. | |
Разместил: Ingvar16 28-03-2024, 18:33 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: LLM Adoption in the Enterprise: A Guide to Building Meaningful Products with Generative AI
Автор: Isabelle Nguyen
Издательство: O’Reilly Media, Inc.
Год: 2024-03-27
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB
Using large language models (LLMs) as an example, this concise guide illustrates how enterprises should approach the introduction of generative AI into their business models. From a practical understanding of the technology, to efficient and dynamic cross-functional product teams, to agile product lifecycles: packed with real-world examples, this report aims to equip thought leaders with a readily applicable framework for building with AI. Tailored copy written by a chatbot, automated code reviews, and a fully AI-driven yet empathetic and helpful customer support. The potential of large language models (LLMs) to increase productivity and drive return on investment (ROI) seems too good to be true. But this disruptive technology also presents a challenge that goes beyond cost and technical know-how. To bring an LLM-based application to production, product leaders need a pragmatic understanding of the technology, the business outcomes it can drive, and the skills required to bring their product idea to life. They must be able to lead diverse teams through the adoption process and respond to new challenges as they arise. By learning to overcome their initial awe of a new and groundbreaking technology, product leads can begin to embrace the potential of LLMs to address their users’ pain points. In this way, LLMs become a powerful addition to the product team’s toolbox that, when used properly, can solve a variety of text-based problems. | |
Разместил: Ingvar16 28-03-2024, 06:38 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: javascript и Node.js для веб-разработчиков
Автор: Прохоренок Н.А., Дронов В.А.
Издательство: БХВ-Петербург
Год: 2022
Страниц: 767
Язык: русский
Формат: pdf
Размер: 10.3 MB
Книга рассказывает о языке программирования javascript, разработке на нем как программ общего назначения, выполняющихся в среде Node.js, так и скриптов для веб-страниц. Даны основы javascript: типы данных, операторы, работа с числами, строками, датой и временем, массивами, функции, классы (как старого, так и нового синтаксиса), итераторы, генераторы и класс Promise. Объяснена работа с отладчиком, встроенным в редактор Visual Studio Code. Рассказано о модулях, средствах для работы с файловой системой и программирования веб-серверов. Описана объектная модель документа. Рассмотрены средства для работы с элементами веб-страницы, самой страницей и браузером и технология AJAX (в том числе Fetch API), а также готовые программные пакеты для разработки веб-сайтов, в частности Webpack. С появлением Node.js появилась возможность писать на javascript программы практически любого назначения: инструментальные и системные утилиты, серверы и даже приложения с графическим интерфейсом (правда, для этого понадобятся дополнительные библиотеки). Предлагаемая вниманию читателей книга рассказывает о языке javascript, его применении для написания как программ, работающих под управлением Node.js, так и скриптов, выполняемых веб-браузерами. По сути, это всеобъемлющее руководство для javascript-программистов, желающих знать об этом языке все. | |
Разместил: Ingvar16 27-03-2024, 21:16 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Computational Intelligence and Blockchain in Complex Systems: System Security and Interdisciplinary Applications
Автор: Fadi Al-Turjman
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 320
Язык: английский
Формат: epub, mobi
Размер: 11.0 MB
Computational Intelligence and Blockchain in Complex Systems: System Security and Interdisciplinary Applications provides readers with a guide to understanding the dynamics of AI, Machine Learning, and Computational Intelligence in Blockchain and how these rapidly developing technologies are revolutionizing a variety of interdisciplinary research fields and applications. The book examines a number of applications, including healthcare, insurance, smart grid, smart contracts, digital currency, precision agriculture, and the supply chain. The authors cover the unique and developing intersection between cybersecurity and Blockchain in modern networks, as well as in-depth studies on cybersecurity challenges and multidisciplinary methods in modern Blockchain networks. Readers will find mathematical equations throughout the book as part of the underlying concepts and foundational methods, especially the complex algorithms involved in Blockchain security aspects for hashing, coding, and decoding. This book provides readers with the most in-depth technical guide to the intersection of Computational Intelligence and Blockchain, two of the most important technologies for the development of next generation complex systems. | |
Разместил: Ingvar16 27-03-2024, 20:12 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks
Автор: Chao Wang
Издательство: CRC Press
Год: 2024
Страниц: 417
Язык: английский
Формат: pdf (true)
Размер: 37.9 MB
With the end of Moore’s Law, domain-specific architecture (DSA) has become a crucial mode of implementing future computing architectures. This book discusses the system-level design methodology of DSAs and their applications, providing a unified design process that guarantees functionality, performance, energy efficiency, and real-time responsiveness for the target application. DSAs often start from domain-specific algorithms or applications, analyzing the characteristics of algorithmic applications, such as computation, memory access, and communication, and proposing the heterogeneous accelerator architecture suitable for that particular application. In the emerging field of big data, machine learning, data mining, and artificial intelligence algorithms, as the core components of next?generation applications, have attracted more attention from researchers. Utilizing existing hardware and software means to carry out the design of a new algorithmic architecture has become a hot research topic nowadays. Accelerating new algorithms in the era of big data is very different from the past. Machine Learning is concerned with using data to construct appropriate predictive models to make predictions about unknown data. According to the similarity of the presentation and implementation of Machine Learning algorithms, we can categorize the algorithms such as Bayesian?based algorithms and neural network?based algorithms. Of course, the scope of machine learning is so vast that some algorithms are difficult to categorize explicitly into a particular class, and for some classifications, algorithms of the same classification can target different types of problems. | |
Разместил: Ingvar16 27-03-2024, 19:34 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
Название: Искусственный интеллект. Машинное обучение
Автор: Джейд Картер
Издательство: Литрес
Год: 2024
Формат: pdf, epub
Размер: 10 Мб
Качество: Хорошее
Язык: Русский
Исследуйте мир машинного обучения с этой книгой, предназначенной для тех, кто стремится погрузиться в фундаментальные принципы и передовые методы этой динамично развивающейся области. От введения в основные концепции до глубокого погружения в продвинутые техники и приложения, каждая глава представляет собой комплексное исследование, подкрепленное практическими примерами и советами. Будучи ориентиром как для начинающих, так и для опытных практиков, данная книга поможет вам освоить ключевые навыки, необходимые для эффективного применения методов машинного обучения в реальных задачах. | |
Разместил: tanyavip1 27-03-2024, 13:07 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Intelligent Quantum Information Processing
Автор: Siddhartha Bhattacharyya, Ivan Cruz-Aceves, Arpan Deyasi
Издательство: CRC Press
Серия: Quantum Machine Intelligence
Год: 2024
Страниц: 255
Язык: английский
Формат: pdf (true)
Размер: 13.3 MB
The book discusses the foundations of intelligent quantum information processing applied to several real-life engineering problems, including intelligent quantum systems, intelligent quantum communication, intelligent process optimization, and intelligent quantum distributed networks. Quantum computer, as the name suggests, principally works on several quantum physical features. These could be used as an immense alternative to today’s apposite computers since they possess faster processing capability (even exponentially) than classical computers. The term “quantum computing” is fundamentally a synergistic combination of thoughts from quantum physics, classical information theory, and Computer Science. This volume aims to bring together recent advances and trends in the methodological approaches, theoretical studies, and mathematical and applied techniques related to intelligent quantum information processing and their applications to engineering problems. The scope of the book, in essence, is confined to but not bounded to introducing different novel hybrid quantum computational algorithms for addressing the limitations of the conventional information processing algorithms, including quantum machine learning, quantum key distribution, quantum information processing, quantum encryption algorithms, quantum networks, and quantum knowledge discovery in databases, to name a few. | |
Разместил: Ingvar16 27-03-2024, 07:18 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
Навигация
Вход на сайт
Реклама
