Название: Introduction to Machine Learning Algorithms: Basic Principles and Mathematics
Автор: Vinod Kumar Khanna
Издательство: CRC Press
Год: 2026
Страниц: 762
Язык: английский
Формат: epub (true)
Размер: 34.0 MB

Mathematics is the foundation of Machine Learning algorithms. To understand the shortcomings of existing algorithms and develop more effective methods, it is essential to understand the mathematical concepts underlying these algorithms and their operational principles. This book serves as an introductory resource, outlining the preliminary concepts and offering insights into the mathematical foundations and operational mechanisms of Machine Learning algorithms. It describes the basic equations and interrelates the questions arising during practical applications of Machine Learning with the basic mathematical picture of the algorithms used. This book is for academicians, scholars, students, and professionals engaged in the study of Machine Learning and Artificial Intelligence.

Название: Build an AI Agent (From Scratch): Agents that reason, plan, and act autonomously ( MEAP v3)
Автор: Jungjun Hur, Younghee Song
Издательство: Manning Publications
Год: 2026
Страниц: 266
Язык: английский
Формат: pdf, epub + code
Размер: 18.2 MB

Build a working AI agent that can reason, plan, and execute multi-step tasks! LLM-powered AI agents are the next leap in applied AI, capable of reasoning and collaboration to achieve even complex, multi-step goals. Using new protocols like MCP and A2A, agents can use software tools, retrieve relevant knowledge, and adapt to feedback. This book guides you step by step in creating an AI agent from the ground up, with clear, detailed explanations you can follow to build your own custom assistants! Build an AI Agent (From Scratch) is a step-by-step guide to creating a working AI agent, starting with the bare essentials and growing your AI into a full-featured, real-world system. By the final chapter, you will have built an end-to-end AI agent that you can use as a foundation for your own projects. For Python developers and AI practitioners. All examples run on a standard laptop.

Название: Mathematics for Artificial Intelligence
Автор: Jane Hawkins
Издательство: Springer
Год: 2026
Страниц: 239
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly growing fields drawing great interest among students. Many students in a range of fields, including mathematics, computer science, statistics, data science, and more, see AI and ML as a key to their future. This book provides the basic mathematics needed to understand AI and ML. It serves both students of mathematics and those who want to fill any gaps in their mathematics experience. It is written as both a text for a course and as a focused look at mathematics needed for readers hoping to learn more. The author has taught every topic in this book, often in different contexts, and the material and exercises are drawn from lecture notes. Through carefully chosen examples and discussion in the text, the reader will learn how and where these tools are applied. AI and ML connections are raised along the way. It presumes the reader has at least completed the traditional three-semester calculus course. Linear algebra is presented as needed and should not require a completed course. The book is also well-suited for self-paced learning. Each chapter can be read independently with the help of the index for cross-referencing. Exercises are included.

Название: Build Your Own AI Assistant: A step-by-step guide to custom GPT with OpenAI for everyday users
Автор: Alina Li Zhang
Издательство: BPB Publications
Год: 2026
Страниц: 226
Язык: английский
Формат: epub (true)
Размер: 12.6 MB

AI now gives everyday people the ability to extend their influence, solve problems faster, and build tools that reflect their goals and values. It gives the opportunity to design intelligence that works with you has never been more accessible. This book provides a clear and structured path to building custom GPT using OpenAI’s platform. Each chapter offers practical, step-by-step instruction, including how GPT function, how to build your first assistant, add your own knowledge, enable real-world actions, and apply responsible AI principles. The approach is simple enough for beginners yet detailed enough to support real workplace impact across roles and industries. As you go through the book, you will have the technical knowledge of advanced prompting and the awareness of responsible AI to confidently build and manage dynamic, real-world AI solutions. This book is for anyone curious about how AI can amplify their abilities, including professionals, educators, creators, managers, and entrepreneurs who want practical ways to use GPT in their work. It is especially for people who want to build their own AI assistants with no coding required to begin the process.

Название: Practical Approach to Agentic AI: From theory to real-world applications in agentic AI
Автор: Shweta Kamath, Vikas Gautam
Издательство: BPB Publications
Год: 2026
Страниц: 489
Язык: английский
Формат: epub (true)
Размер: 21.0 MB

Agentic AI is rapidly emerging as the next frontier in artificial intelligence, enabling systems to act autonomously, adapt in real time, and make goal-driven decisions. In today’s fast-evolving digital landscape, this technology is reshaping industries by powering intelligent workflows, enhancing efficiency, and unlocking new opportunities for innovation. This book provides a structured journey from foundational concepts to advanced implementation. It begins with the evolution of AI and the defining principles of agentic systems, then explores agent properties such as memory, personas, and lifecycle management. Readers will gain insights into enabling technologies like LLMs and reinforcement learning, followed by architectural patterns for building scalable agents. The chapters provide hands-on evaluations of frameworks like AutoGen, CrewAI, and LangGraph, alongside strategies for data governance and industry-specific use cases in finance and healthcare, such as fraud detection, healthcare personalization, and supply chain optimization. This book is for technology leaders, architects, and developers who possess a solid foundation in Python and basic AI concepts. It serves product teams and practitioners needing professional guidance to design, scale, and responsibly deploy autonomous multi-agent systems.

Название: AI Concepts Using Python
Автор: Ayman Alheraki
Издательство:
Год: December 2024
Страниц: 435
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This practical guide is a modern, beginner-friendly guide designed to help you master Python programming faster and smarter by leveraging the power of Artificial Intelligence and tools like ChatGPT. This book represents the culmination of my journey into the fascinating and ever-evolving field of AI. It serves as both a guide and a resource, covering the fundamental principles, key topics, and essential divisions of AI that I have explored and compiled through dedicated study and practical experience. Python has emerged as the ideal programming language for learning and implementing Artificial Intelligence (AI). Its combination of simplicity, flexibility, and an extensive ecosystem of libraries makes it a preferred choice for both beginners and professionals. Below is an in-depth exploration of why Python plays such a pivotal role in AI education. Python’s syntax is designed to be clean and easy to read, resembling natural language. This minimizes the learning curve for newcomers and allows them to focus on understanding AI concepts rather than grappling with complex code.

Название: RAG Engineer PRO
Автор: Алексей Малышкин
Издательство: Stepik
Год: 2025
Формат: HTML
Страниц: много
Размер: 766 Mb
Язык: Русский

Комплексная программа инженера RAG: от прототипа до продакшн-бота. Соберёте поиск «по смыслу», настроите индексацию/ретрив, сделаете API на FastAPI, добавите тесты и деплой. Подойдёт разработчикам и аналитикам, знакомым с основами Python.

Название: FastAPI начальный уровень
Автор: Алексей Малышкин
Издательство: Stepik
Год: 2025
Формат: HTML
Страниц: много
Размер: 67 Mb
Язык: Русский

Хотите разобраться в API и научиться создавать быстрые и удобные веб-сервисы? В этом курсе вы освоите основы HTTP, API-протоколов, синхронной и асинхронной работы и шаг за шагом погрузитесь в разработку на FastAPI. Изучите маршрутизацию, валидацию данных, обработку ошибок и документацию API, а также научитесь тестировать и оптимизировать свои сервисы. Подходит как для начинающих, так и для разработчиков, осваивающих FastAPI!

Название: Выразительный jаvascript. Современное веб-программирование
Автор: Марейн Хавербеке
Издательство: Питер
Год: 2020
Cтраниц: 480
Формат: pdf/djvu
Размер: 25 мб
Язык: русский

«Выразительный jаvascript» позволит глубоко погрузиться в тему, научиться писать красивый и эффективный код. Вы познакомитесь с синтаксисом, стрелочными и асинхронными функциями, итератором, шаблонными строками и блочной областью видимости.

Название: Guide to Using Generative AI in Programming
Автор: Antti Laaksonen
Издательство: Springer
Серия: Undergraduate Topics in Computer Science
Год: 2026
Страниц: 188
Язык: английский
Формат: pdf (true), epub
Размер: 40.5 MB

Generative AI has changed the landscape of programming. How can AI tools be used effectively and safely, and what is the role of human programmers now? This unique textbook/guide is a comprehensive introduction to using generative AI in programming. Based on both practical experience and scientific studies, it shows how AI tools can be applied effectively to programmers’ tasks—such as information retrieval, code generation, test creation, and code analysis. The book explores both the new possibilities and the risks of using generative AI, emphasizing the importance of programmers’ expertise: Whereas AI tools can make programmers more productive, their use may also lead to serious problems. This textbook is an ideal guide for students and programmers wishing to understand the role of generative AI in programming, as well as to learn both how to use AI tools in practice and the theory behind them. The book assumes basic programming knowledge, but no prior experience with AI tools is necessary. It is suitable both for beginners learning programming and for experienced programmers looking to update their skills.