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 Название: AI and ML for Coders: Applying Core ML algorithms, deep learning models, and MLOps best practices
Автор: Suddhasatwa Bhaumik
Издательство: BPB Publications
Год: 2025
Страниц: 496
Язык: английский
Формат: epub (true)
Размер: 10.6 MB
AI and ML are reshaping industries and creating unprecedented opportunities for innovation. They play a crucial role in helping businesses grow in a multitude of use cases and create applications, used by millions worldwide. Designed for coders of all levels, this book bridges the gap between theoretical concepts and real-world applications, empowering you to build intelligent systems. In this book, the readers will work with code, tackling fundamental topics like ML, by grasping core principles through practical coding exercises, followed by computer vision, where the code is trained to see the world and learn image processing techniques like feature detection, empowering applications to analyze and interpret visual data. This is followed by natural language processing (NLP), which enables the software to understand and manipulate language by utilizing techniques like tokenization, sentence sequencing, and more. Additionally, this book also talks about sequence modeling, whereby readers master techniques like recurrent neural networks (RNNs) and Long Short-Term Memory (LSTM) networks, as well as MLOps for deploying and scaling your AI/ML solutions on-premise and in the cloud, with tools like TensorFlow Extended (TFX) and Kubeflow. This book is for coders and software engineers, from novice to experienced, aiming to integrate AI and ML to enhance their IT systems. | |
Разместил: Ingvar16 22-06-2025, 19:57 | Комментарии: 0 | Подробнее
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 Название: Learn C# with Visual Studio 2022: Comprehensive guide to C# fundamentals, Core .NET concepts, advanced features, and building with Visual Studio 2022
Автор: Marcelo Guerra Hahn
Издательство: BPB Publications
Год: 2025
Страниц: 423
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB
C# and Visual Studio 2022 are foundational technologies for developing a wide range of applications on the .NET platform, from desktop to web. This book is your practical guide to mastering these tools, designed to take you from understanding the basics to building real-world solutions effectively. This book starts with setting up the IDE, and covers core programming basics like syntax rules, variables, data types, operators, control structures (like if-else statements and loops), exception handling, and methods. You will learn essential object-oriented programming (OOP) concepts such as classes, objects, encapsulation, inheritance, polymorphism, and abstraction. Progressing beyond fundamentals, you will learn efficient data management with collections, generics, and LINQ, handling events using delegates and events, and data persistence via file and stream I/O. This book is for software developers, students learning C#, and professionals looking to adopt .NET development using Visual Studio 2022. It is tailored for individuals new to programming or those with some C# background, aiming to expand their expertise using Visual Studio 2022. | |
Разместил: Ingvar16 22-06-2025, 18:44 | Комментарии: 0 | Подробнее
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 Название: Generative AI with LangChain: Build smart AI apps using LangChain and Python tools
Автор: Priyanka Singh, Hariom Singh
Издательство: BPB Publications
Год: 2025
Страниц: 358
Язык: английский
Формат: pdf, epub (true)
Размер: 11.0 MB
AI is redefining how businesses solve problems, automate decisions, and deliver value. LangChain, an emerging framework, streamlines the integration of large language models into real-world applications, making AI more actionable and accessible. Unlock the power of cutting-edge AI with LangChain, a revolutionary Python framework designed to simplify the creation of sophisticated AI applications. This book begins with the foundational knowledge of AI and LangChain, followed by practical tools like Python, neural networks, and cloud platforms such as AWS and Azure. You will explore LangChain's architecture and gain hands-on experience integrating LangChain with leading cloud platforms. You will discover how to leverage powerful data science tools like Snowflake and Athena for real-world AI projects. You will analyze AI applications in modern operational frameworks, such as DevOps and MLOps, and gain insights into the exciting future trends, ethical AI practices, and real-world deployment strategies that are shaping the evolution of AI and LangChain. This book is ideal for software developers, AI enthusiasts, data scientists, DevOps engineers, and tech professionals aiming to gain practical skills in AI implementation using LangChain. | |
Разместил: Ingvar16 22-06-2025, 17:18 | Комментарии: 0 | Подробнее
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 Название: Грокаем глубокое обучение
Автор: Эндрю Траск
Издательство: Питер
Год: 2020
Cтраниц: 350
Формат: pdf/djvu
Размер: 15 мб
Язык: русский
Глубокое обучение – это раздел искусственного интеллекта, цель которого научить компьютеры обучаться с помощью нейронных сетей – технологии, созданной по образу и подобию человеческого мозга. Онлайн-переводчики, беспилотные автомобили, рекомендации по выбору товаров именно для вас и виртуальные голосовые помощники – вот лишь несколько достижений, которые стали возможны, благодаря глубокому обучению. «Грокаем глубокое обучение» научит конструировать нейронные сети с нуля! Эндрю Траск знакомит со всеми деталями и тонкостями этой нелегкой задачи. Python и библиотека NumPy способны научить ваши нейронные сети видеть и распознавать изображения, переводить любые тексты на все языки мира и даже писать не хуже Шекспира! | |
Разместил: rivasss 22-06-2025, 14:09 | Комментарии: 0 | Подробнее
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 Название: Python Simplified with Generative AI: Hands-on Python development with GenAI tools integrating data science and web interfaces
Автор: Duc T. Haba, Ashley R. Haba, Evan M. Haba
Издательство: BPB Publications
Год: 2025
Страниц: 364
Язык: английский
Формат: epub (true)
Размер: 45.2 MB
GenAI and Python are changing how we use technology, making it essential to understand both to stay innovative and work efficiently. GenAI significantly impacts learning Python by generating personalized code snippets, accelerating the learning process. This book bridges the gap between traditional education and the practical challenges students encounter today. It combines hands-on learning with modern GenAI tools like GPT-4 and Copilot. The book begins with fundamental GenAI concepts, including GPT-4 and Gemini, and mastering prompt engineering for optimal GenAI interaction. Instead of starting with technical details like algorithms and syntax, it introduces coding through interactive, practical Python Jupyter Notebooks and Google Colab projects. Readers will learn Python code with a calculator application, explore fundamental sorting algorithms, and manipulate data using Pandas. This book is for professionals interested in learning Python and using GenAI tools like GPT-4 in practical applications. It is for aspiring programmers, students, and data analysts seeking practical Python and GenAI skills. | |
Разместил: Ingvar16 22-06-2025, 06:46 | Комментарии: 0 | Подробнее
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 Название: Introduction to Natural Language Processing: Exploring Techniques, Applications, and Challenges
Автор: Xiaochun Cheng, Preethi Nanjundan, Jossy P George
Издательство: River Publishers
Год: 2025
Страниц: 170
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
This book provides a thorough and comprehensive introduction to natural language processing (NLP), a critical field at the intersection of Artificial Intelligence and computational linguistics. It explores key techniques such as sentiment analysis, which enables the detection of emotional tone in text, machine translation, facilitating the conversion of text between languages, and named entity recognition (NER), which identifies and classifies entities like names, dates, and locations within text data. The book delves into Deep Learning advancements, particularly the use of neural networks such as transformers and recurrent models, which have revolutionized NLP applications. Readers will gain insights into how these models drive innovations in areas such as text classification, language generation, and speech recognition. The NLTK (Natural Language Toolkit) is the primary Python API for NLP (natural language processing). It is a particularly effective tool for preparing text data for later analysis, such as using ML models. It helps convert words into numbers, which the model may make use of. An easy introduction to NLTK for beginners that also introduces Python begins with this part. Programming language processing is effectively introduced by Python’s natural language processing. | |
Разместил: Ingvar16 22-06-2025, 04:58 | Комментарии: 0 | Подробнее
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 Название: SAPUI5: The Comprehensive Guide to Building Modern SAP Fiori Apps with the Latest UI5 Toolkit
Автор: Rene Glavanovits, Martin Koch, Daniel Krancz, Maximilian Olzinger
Издательство: Rheinwerk Publishing
Год: 2025
Страниц: 776
Язык: английский
Формат: epub (true)
Размер: 40.8 MB
From web apps to user interfaces, get the skills you need to develop with SAPUI5! Master the fundamentals—design guidelines, IDEs, TypeScript, and more—and then dive into development. Create your first application and learn about SAPUI5’s libraries, controls, layouts, and managed objects. Integrate data into your applications using RESTful and OData services, and then enhance them with SAP Fiori elements and custom controls. With information on deployment, debugging, security, and Generative AI, this guide has everything you need to become an SAPUI5 expert! SAPUI5, pronounced “SAP UI five,” is a proprietary jаvascript-based development toolkit specifically designed for building web applications that interact with SAP systems. SAPUI5 is based on open web standards such as HTML5, CSS, and jаvascript. The framework uses the MVC design pattern to ensure a clear separation between data, logic, and presentation. This makes the development and maintenance of applications much easier. | |
Разместил: Ingvar16 21-06-2025, 21:44 | Комментарии: 0 | Подробнее
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 Название: Rust Programming: A Practical Guide to Fast, Efficient, and Safe Code with Ownership, Concurrency, and Web Programming
Автор: Nouman Azam
Издательство: Rheinwerk Publishing
Год: 2025
Страниц: 627
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
Get "close to the machine" by programming with Rust! Discover how to effectively use this low-level language to create fast and efficient code. Set up Rust, compile your first program, and learn the language essentials: variables, functions, conditionals, and more. Walk through Rust’s unique ownership model and modular system, and then move on to more complex features, from flexibility and abstraction to web programming and text processing. Numerous code examples and exercises make this your go-to practical resource for Rust! Since its inception, Rust has rapidly gained popularity due to its emphasis on memory safety, performance, and concurrency. As the demand for safer and more efficient systems programming grows, developers and organizations have increasingly turned to Rust to build reliable software. This book is designed to bridge the gap between Rust’s powerful features and practical implementation, offering a structured and hands-on approach to mastering the language. Developers familiar with other languages such as C++, Python, or Java will find detailed explanations of Rust’s unique features, helping them transition smoothly. | |
Разместил: Ingvar16 21-06-2025, 19:32 | Комментарии: 0 | Подробнее
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 Название: Programming Neural Networks with Python: Your Practical Guide to Building Smart AI Systems with Machine Learning
Автор: Joachim Steinwendner, Roland Schwaiger
Издательство: Rheinwerk Publishing
Год: 2025
Страниц: 457
Язык: английский
Формат: epub (true)
Размер: 20.1 MB
Neural networks are at the heart of AI—so ensure you’re on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you’ll need to understand and create neural networks. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Learn how to train your neural network, measure errors, make use of transfer learning, implementing the CRISP-DM model, and more. Whether you’re interested in Machine Learning, gen AI, LLMs, Deep Learning, or all of the above, this is the AI book you need! This is a hands-on book for getting started with ANNs. Supported by graphics, sample applications, and Python code, we’ll demonstrate how ANNs work and how you can program them yourself. This book consists of two parts. The first part gives you a compact overview from the concept to the implementation of various neural networks. The second part provides background and context for you because you now want to take a broader approach to the topic and add some theory to your first steps. | |
Разместил: Ingvar16 21-06-2025, 18:36 | Комментарии: 0 | Подробнее
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 Название: Generative AI with Python: The Developer’s Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systems
Автор: Bert Gollnick
Издательство: Rheinwerk Publishing
Год: 2025
Страниц: 392
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
Your guide to Generative AI with Python is here! Start with an introduction to generative AI, NLP models, LLMs, and LMMs—and then dive into pretrained models with Hugging Face. Work with LLMs using Python with the help of tools like OpenAI and LangChain. Get step-by-step instructions for working with vector databases and using retrieval-augmented generation. With information on agentic systems and AI application deployment, this guide gives you all you need to become an AI master! LLMs have revolutionized the way we interact with text-based AIs. LLMs unlock unparalleled capabilities in language understanding and generation. Well dive into the architectures of these models, dissecting how they learn from massive corpora of data to produce human-like text. Then, we’ll examine prompt engineering, an essential skill in the age of LLMs. You’ll learn how to craft prompts that efficiently navigate the models’ knowledge and capabilities. This book is designed for a wide array of readers, ranging from software developers and data scientists to students and researchers interested in Generative AI. A certain amount of coding background is expected. | |
Разместил: Ingvar16 21-06-2025, 17:48 | Комментарии: 0 | Подробнее
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