Название: R Companion to Epidemiology: Study Design and Data Analysis
Автор: Ajith R
Издательство: CRC Press
Год: 2025
Страниц: 392
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

R Companion to Epidemiology: Study Design and Data Analysis is a companion volume to the classic textbook by Mark Woodward, Epidemiology: Study Design and Data Analysis, Third Edition. It aims to equip the reader with sufficient knowledge to use R for practising epidemiology. Towards this aim, it reworks the examples in the textbook, presenting the code followed by an explanation and its result. R is a software tool to interact with data to make sense of it. It is thus essential for R to have a system to represent data and a way to interact with it. We interact with R by issuing commands at the R prompt displayed in the R console that we are presented with when we start R either directly or through RStudio. R can also accept commands non-interactively through a script file. There also is the medium of an R markdown file through which we can issue R commands. Typically, we will be using the command prompt to interact with the data, save the useful commands in a script or markdown file to generate final reports at a later stage.

Название: MATLAB Programming Fundamentals (R2025a)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: March 2025
Страниц: 1712
Язык: английский
Формат: pdf (true)
Размер: 11.7 MB

MATLAB is a high-level language that includes mathematical functions for solving engineering and scientific problems. You can produce immediate results by interactively executing commands one at a time. However, MATLAB also provides features of traditional programming languages, including flow control, error handling, and object-oriented programming (OOP). When you have a sequence of commands to perform repeatedly or that you want to save for future reference, store them in a program file. The simplest type of MATLAB program is a script, which contains a set of commands exactly as you would type them at the command line. For additional programming flexibility, create functions which accept input and return outputs. When you have specialized data structures or require many functions to interact with special kinds of data, create classes using object-oriented programming techniques.

Название: Программирование инженерных задач на базе использования алгоритмов циклической структуры на языке C в среде VS C++. Модуль 2
Автор: Алексеев Ю. Е., Куров А. В.
Издательство: МГТУ им. Баумана
Год: 2019
Cтраниц: 134
Формат: pdf
Размер: 17 мб
Язык: русский

Приведены краткие теоретические сведения по организации программ циклической структуры на примере алгоритмов вычисления сумм, произведений, суммы бесконечного ряда, определенного интеграла, уточнения корней уравнений. Рассмотрена организация вложенных циклов, показано решение таких задач, как вычисление определенного интеграла с заданной точностью, поиск наибольшего (наименьшего) значения функции с требуемой точностью, обработка матриц, сортировка элементов массива.

Название: ChatGPT Prompts for Coding: 630 Actionable Prompts for Debugging, Testing, Integration, and Deployment
Автор: Jaideep Parashar
Издательство: Independently published
Год: December 1, 2024
Страниц: 193
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

630 Prompts to Master Coding Like Never Before with ChatGPT! Are you struggling with coding challenges? Spending hours debugging, integrating, or scaling your applications? It’s time to revolutionize your coding process with ChatGPT Prompts for Coding—the ultimate AI-powered guide that transforms the way you code. This is not just another coding book. It’s your comprehensive toolkit for leveraging artificial intelligence to streamline, simplify, and supercharge your development skills. Whether you're a beginner, seasoned programmer, freelancer, or IT professional, this book is your go-to resource for tackling coding problems efficiently and effectively. Coding today is not just about syntax and logic—it’s about adaptability, efficiency, and leveraging tools like ChatGPT to stay ahead. With this book, I aim to provide developers of all levels—whether they are freelancers, software engineers, or IT professionals—with practical prompts that address challenges in debugging, testing, integration, and beyond.

Название: Agentforce: Harnessing the Agency of AI to Scale, Grow, and Lead Any Industry
Автор: Martin Kihn
Издательство: Wiley
Год: 2025
Страниц: 240
Язык: английский
Формат: pdf, epub (true)
Размер: 10.6 MB

Introducing AI agents, the groundbreaking third wave of AI's integration in the workforce. Agentforce: Harnessing the Agency of AI to Scale, Grow, and Lead Any Industry tells you how companies can create and control their own AI agents and build a virtual workforce. It goes behind-the-scenes on how Salesforce built a platform to drive AI agents, solving problems like hallucinations and bias through a framework that gives agents strict roles, data sources, actions, guardrails and channels to reach customers. This book draws from extensive research and exclusive access to Salesforce's leaders and their ambitious plan to dominate the race to develop and own the AI agent space. Agentforce is a platform that provides a safe way to bring Artificial Intelligence (AI) agents into the workplace so they can help people do their jobs. Moreover, you can use Agentforce to effectively retrain or customize these LLMs on your own customer data. This alchemy is accomplished through a technique called Retrieval Augmented Generation (RAG), which we'll explain in a bit. So, Agentforce gives you trust, access to unstructured data, and RAG.

Название: Python Pen-testing Unleashed: Techniques for Ethical Hacking with Python
Автор: Pratham Mohan Pawar
Издательство: Authors Tree Publishing
Год: 2025
Страниц: 285
Язык: английский
Формат: epub (true)
Размер: 13.4 MB

This book is a practical guide that shows you the advantages of using Python for pen-testing, with the help of detailed code examples. This book starts by exploring the basics of networking with Python and then proceeds to network and wireless pen-testing, including information gathering and attacking. You will learn how to build honeypot traps. Later on, we delve into hacking the application layer, where we start by gathering information from a website, and then eventually move on to concepts related to website hacking, such as parameter tampering, DDOS, XSS, and SQL injection. Who this book is for: If you are a Python programmer, a security researcher, or a network admin who has basic knowledge of Python programming and want to learn about penetration testing with the help of Python, this book is ideal for you. Even if you are new to the field of ethical hacking, this book can help you find the vulnerabilities in your system so that you are ready to tackle any kind of attack or intrusion. If you are a Python programmer, a security researcher, or a network admin who has basic knowledge of Python programming and want to learn about penetration testing with the help of Python, this book is ideal for you.

Название: Инженерия данных в Python. Основы анализа данных с помощью Pandas, NumPy и Scikit-learn
Автор: Cuantum Technologies
Издательство: ДМК Пресс
Год: 2025
Страниц: 530
Язык: русский
Формат: pdf
Размер: 29.7 MB

Цель этой книги – научить вас подготавливать и преобразовывать сырые данные, конструировать новые признаки и придавать исходным данным форму, пригодную для будущего интеллектуального анализа при помощи методов машинного и глубокого обучения. Предложенные в книге эффективные техники и приемы будут полезны для обработки любого объема данных. Примеры кода опираются на наиболее популярные библиотеки Python для работы с данными, такие как Pandas, NumPy и Scikit-learn. Издание предназначено как делающим первые шаги в освоении науки о данных, так и практикующим специалистам, желающим улучшить свои навыки.

Название: Machine Learning for Drug Discovery (MEAP v6)
Автор: Noah Flynn
Издательство: Manning Publications
Год: 2025
Страниц: 298
Язык: английский
Формат: pdf, epub
Размер: 28.3 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 Machine Learning and Deep Learning techniques that drive modern medical research. Each chapter covers a real-world example from the pharmaceutical industry, showing you hands-on how researchers investigate treatments for cancer, malaria, autoimmune diseases, and more. You'll even explore the techniques used to create Deepmind's Alphafold, in an in-depth case study of the groundbreaking model. All you need are the basics of Python. This book will teach you everything else.

Название: Essential GraphRAG: Knowledge Graph-Enhanced RAG (MEAP v4)
Автор: Tomaž Bratanič, Oskar Hane
Издательство: Manning Publications
Год: 2025
Страниц: 208
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Upgrade your RAG applications with the power of knowledge graphs. Retrieval Augmented Generation (RAG) is a great way to harness the power of generative AI for information not contained in a LLM’s training data and to avoid depending on LLM for factual information. However, RAG only works when you can quickly identify and supply the most relevant context to your LLM. Essential GraphRAG shows you how to use knowledge graphs to model your RAG data and deliver better performance, accuracy, traceability, and completeness. Essential GraphRAG is a practical guide to empowering LLMs with RAG. You’ll learn to deliver vector similarity-based approaches to find relevant information, as well as work with semantic layers, and generate Cypher statements to retrieve data from a knowledge graph. For readers with intermediate Python skills and some experience with a graph database like Neo4j.

Название: LangChain in Action (MEAP v6)
Автор: Roberto Infante
Издательство: Manning Publications
Год: 2025
Страниц: 480
Язык: английский
Формат: pdf, epub
Размер: 29.8 MB

Build amazing business applications using LangChain and LLMs. The LangChain library radically simplifies the process of building production-quality AI applications. It provides a set of intuitive abstractions for the core features of an LLM-based application, along with tools to help you orchestrate those features into a functioning system. LangChain in Action provides clear diagrams and abundant code samples that teach you exactly how to build useful LangChain-based AI apps. Building applications based on LLMs isn’t limited to huge tech companies with unlimited resources. LangChain in Action teaches you to use the user-friendly LangChain library to create your own research assistants, information enterprise chatbots, and more. There’s no long technical deep dives or academic jargon—the book’s pragmatic approach gives you just enough theory to start building working apps. For Python programmers. You only need to know the absolute basics of LLMs to get started—no advanced knowledge required.