Название: Artificial Intelligence and Computational Modeling in Heat Transfer and Fluid Dynamics
Автор: Mukesh Kumar Awasthi, Reshu Gupta
Издательство: Wiley-Scrivener
Год: 2026
Страниц: 452
Язык: английский
Формат: pdf (true), epub
Размер: 42.0 MB

Artificial Intelligence in Heat Transfer shows how Artificial Intelligence (AI) tools and techniques, such as artificial neural networks, Machine Learning algorithms, genetic algorithms, etc., provide practical benefits specific to thermal sciences. It presents case studies involving heat and mass transfer, multi-objective optimization, conjugate heat transfer, nanofluids, thermal radiation, heat transfer through porous media (metal foam), and more. Drawing on the collective expertise of leading researchers and experts in multiple fields, the book provides an in-depth understanding of the possibilities that emerge when these tools are applied to problems related to thermal sciences. AI is an ever-evolving discipline that has created new and groundbreaking opportunities to advance the mechanical engineering field, particularly in the area of numerical heat transfer. This volume, Advances in Numerical Heat Transfer, explores various ways AI is used in heat transfer to solve engineering problems.

Название: Программирование на Python. Первые шаги
Автор: Щерба А. В.
Издательство: Лаборатория знаний
Год: 2022
Cтраниц: 250
Формат: pdf
Размер: 15 мб
Язык: русский

Серия: Школа юного программиста
В книге описаны базовые конструкции программирования на языке Python: от именования переменных до многострочных программ с несколькими вложенными циклами и условными конструкциями. Материал содержит подробные пошаговые инструкции, множество примеров.

Название: Ultimate Kubernetes for Cloud-Native Applications: Build, Scale, Secure, and Automate Enterprise Cloud-Native Applications Using Kubernetes, DevOps, and Multi-Cloud Strategies
Автор: Kamal Sharma
Издательство: Orange Education Pvt Ltd, AVA
Год: 2026
Страниц: 592
Язык: английский
Формат: epub (true)
Размер: 61.4 MB

Design, deploy, and scale cloud-native applications with Kubernetes mastery! Kubernetes has rapidly evolved into the foundation of modern cloud-native systems, making it indispensable for professionals building scalable and resilient applications. Ultimate Kubernetes for Cloud-Native Applications takes you beyond theory into practical mastery, blending Kubernetes with the essential cloud-native tech stack—including containers, Helm, Terraform, GitOps, Prometheus, Grafana, Istio, and multi-cloud platforms such as AWS, Azure, and GCP. Every chapter is designed to showcase how these technologies converge to deliver enterprise-grade scalability, security, and automation. Thus, whether you are a Cloud Engineer, DevOps professional, Data Engineer, or Architect, this book is your complete guide to becoming a Kubernetes expert. Examples in Python. This book is tailored for Cloud Engineers, DevOps professionals, Data Engineers, and Solution Architects aiming to move beyond operations into enterprise-scale Kubernetes design. Equally valuable for technology leaders transitioning into platform ownership roles, it bridges practical skills with strategy. Readers should have foundational knowledge of containers and cloud concepts.

Название: Алгоритмы
Автор: Джефф Эриксон
Издательство: Москва
Год: 2023
Cтраниц: 526
Формат: pdf
Размер: 163 мб
Язык: русский

В этом руководстве содержатся основные сведения об алгоритмах: анализируются различные типы алгоритмов, рассматриваются мето-ды их построения (рекурсия, динамическое программирование и др.), приводятся практические примеры. В конце каждой главы приводятся упражнения, направленные на закрепление пройденного. Для изучения материала требуется знание основ дискретной математики и методов доказательств, а также представление об основных вычислительных задачах и алгоритмах.

Название: Neural Symbolic Knowledge Graph Reasoning: A Pathway Towards Neural Symbolic AI
Автор: Lihui Liu, Hanghang Tong
Издательство: Springer
Серия: Synthesis Lectures on Computer Science
Год: 2026
Страниц: 159
Язык: английский
Формат: pdf (true), epub
Размер: 24.2 MB

This book explores various aspects of knowledge graph reasoning to solve different tasks, encompassing first, traditional symbolic methods for knowledge graph reasoning; second, recent developments in neural-based knowledge graph reasoning techniques; and third, cutting-edge advancements in neural-symbolic hybrid approaches to knowledge graph reasoning. The authors focus on the model and algorithm design aspect and study knowledge graphs from two perspectives: background knowledge graph and input query. Knowledge graph reasoning, which aims to infer and discover new knowledge from existing information in the knowledge graph, has played an important role in many real-world applications, such as question answering and recommender systems. A new trend in knowledge graph reasoning is the combination of neural models with symbolic knowledge graphs, allowing for the design of models that are not only efficient and accurate, but also interpretable. In this book, the authors study the application of neural-symbolic knowledge reasoning to different tasks from two perspectives: the input query and the background knowledge graph.

Название: Digital Twins in Action (MEAP 4)
Автор: Greg Biegel
Издательство: Manning Publications
Год: 2026
Страниц: 260
Язык: английский
Формат: pdf (true)
Размер: 44.8 MB

Build a living digital replica of your real-world systems! A digital twin is a software-based replica of a physical system that can be used to operate, monitor, and maintain it remotely. Working together, IoT sensors, 3D visualizations, simulation algorithms, AI models, and even robotics give a digital twin an impressive degree of control. This virtual environment is perfect for testing ideas, exploring "what if" scenarios, and unlocking insights—all without making costly changes in reality. For software developers and Machine Learning engineers. Some knowledge of physical systems engineering is helpful but not required. While you’ll need some familiarity with Python to follow the practical examples, and TypeScript for the frontend components, I believe you’ll gain valuable insights even if you choose not to follow every line of code! I primarily use AWS for cloud services, but I’ll explore other providers whenever they offer compelling alternatives.

Название: Machine Learning for Drug Discovery (MEAP 11)
Автор: Noah Flynn
Издательство: Manning Publications
Год: 2026
Страниц: 857
Язык: английский
Формат: pdf (true)
Размер: 57.2 MB

Discover how Machine Learning, Deep Learning, and Generative AI have transformed the pharmaceutical pipeline as you get a hands-on introduction to building models with PyTorch—including diving into Deepmind's Alphafold. Machine Learning for Drug Discovery introduces the fundamentals of drug discovery and cheminformatics along with the Machine Learning techniques used by leaders in the pharmaceutical industry. Each chapter guides you through an engaging hands-on project that explores a real medical issue. You’ll build a full screening pipeline to assess a compound’s potential for treating malaria, reproduce published methods for HIV drug design, learn to use deep generative models for novel drug optimization, and see how LLMs can overcome common problems of protein folding. All you need are the basics of Python. This book will teach you everything else.

Название: Generative Adversarial Network: Principle and Practice
Автор: Peng Long, Xiaozhou Guo
Издательство: Springer/China Machine Press
Год: 2026
Страниц: 441
Язык: английский
Формат: pdf (true), epub
Размер: 72.3 MB

This book comprehensively and systematically introduces the theory of generative adversarial networks and its applications in image and voice processing. This book consists of 12 chapters, of which the first four chapters present basic knowledge, including the principle of GAN, optimization objectives, training methods and evaluation indicators. The last eight chapters introduce the applications of GAN in various vertical fields, covering image generation, video generation, image translation, face image editing, image quality improvement, general image editing, anti-attack, voice signal processing and other fields. Through reading this book, readers will thoroughly understand the principles of GAN, various GAN model designs, and learn to apply GAN for most vision and voice tasks. This book is suitable for the junior researchers, students or industrial practitioners in related areas.

Название: 250+ Killer C# One-Liners: Transform your code into powerful solutions
Автор: Hernando Abella
Издательство: Hernando Abella
Год: 2024
Формат: epub, pdf
Страниц: 300
Размер: 21,87 Мб
Язык: английский

Welcome to a coding adventure like no other! '250+ Killer C# One-Liners' is your passport to mastering the intricacies of C#. Inside, discover a collection of powerful, concise code snippetsthat will transform the way you write and think about C#. Even if you are a seasoned developer or just starting, this book is your gateway to unlocking the true potential of the language. Join us as we delve into the art of crafting code that not only solves problems but does so elegantly and efficiently.

Название: Learn AI Data Engineering in a Month of Lunches (MEAP 4)
Автор: David Melillo
Издательство: Manning Publications
Год: 2026
Страниц: 204
Язык: английский
Формат: pdf (true), epub
Размер: 15.6 MB

Reliable and effective AI-powered data pipelines delivered in just a month of lunches! Learn AI Data Engineering in a Month of Lunches is a fast, friendly guide to integrating large language models into your data workflows. In just 17 short lessons, you’ll learn how AI can help you handle time-consuming data engineering tasks including transformations, calculations, and the never-ending chore of data cleaning–all illustrated with instantly-familiar SQL and Python use cases! AI presents a compelling opportunity as a coding companion, generating code that is often accurate enough to use with minimal refinement. Tools like ChatGPT, GitHub Copilot, and Claude have already begun replacing repetitive scripting, scaffolding complex data pipelines, and offering natural language interfaces to libraries like Pandas, NumPy, and Scikit-learn. For aspiring and veteran data professionals who know Python and SQL.