Название: Learn AI-assisted Python Programming: With GitHub Copilot and ChatGPT (Final)
Автор: Leo Porter, Daniel Zingaro
Издательство: Manning Publications
Год: 2024
Страниц: 298
Язык: английский
Формат: True/Retail PDF, epub
Размер: 10.1 MB, 10.15 MB

Writing computer programs in Python just got a lot easier! Use AI-assisted coding tools like GitHub Copilot and ChatGPT to turn your ideas into applications faster than ever. AI has changed the way we write computer programs. With tools like Copilot and ChatGPT, you can describe what you want in plain English, and watch your AI assistant generate the code right before your eyes. It’s perfect for beginners, or anyone who’s struggled with the steep learning curve of traditional programming. This book shows you how to create and improve Python programs using AI—even if you’ve never written a line of computer code before. Spend less time on the slow, low-level programming details and instead learn how an AI assistant can bring your ideas to life immediately. As you go, you’ll even learn enough of the Python language to understand and improve what your AI assistant creates.

Название: Machine Learning for Causal Inference
Автор: Sheng Li, Zhixuan Chu
Издательство: Springer
Год: 2023
Страниц: 302
Язык: английский
Формат: pdf (true), epub
Размер: 26.2 MB

This book provides a deep understanding of the relationship between machine learning and causal inference. It covers a broad range of topics, starting with the preliminary foundations of causal inference, which include basic definitions, illustrative examples, and assumptions. It then delves into the different types of classical causal inference methods, such as matching, weighting, tree-based models, and more. Additionally, the book explores how Machine Learning can be used for causal effect estimation based on representation learning and graph learning. The contribution of causal inference in creating trustworthy machine learning systems to accomplish diversity, non-discrimination and fairness, transparency and explainability, generalization and robustness, and more is also discussed. The book also provides practical applications of causal inference in various domains such as natural language processing, recommender systems, computer vision, time series forecasting, and continual learning. Each chapter of the book is written by leading researchers in their respective fields.

Название: Решение научных и инженерных задач средствами Excel, VBA и C/C++
Автор: Гайдышев И.П.
Издательство: СПб.: БXB-Пeтepбуpг
Год: 2004
Cтраниц: 512
Формат: pdf
Размер: 12 мб
Язык: русский

Книга посвящена практическим вопросам программирования. Подробно рассматривается технология создания недорогого и максимально адаптированного для пользователей всех квалификаций программного обеспечения для анализа данных и математического моделирования. Изложение ведется как в применении к официальным, так и - впервые в литературе - альтернативным средствам разработки, причем последним уделяется большое внимание.

Название: React from Scratch: A friendly guide for absolute beginners (Update 2023)
Автор: Ajdin Imsirovic
Издательство: Leanpub
Год: 2023-11-30
Страниц: 139
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB

This book is my answer to the question: how to teach React to a complete beginner, in as little time as possible? Need to learn the basics quickly? This is your book. React is a library for the web, written in the jаvascript language. The purpose of this library is to code the UI of our websites. To be more efficient working with React, I highly recommend installing React Developer Tools in your browser of choice. If you’re starting this book, I expect you at least have Node.js and NPM installed on your machine. I’m also assuming that you did use a code editor before, and that you’re comfortable, or at least familiar with VS Code. Still, a level of knowledge of HTML, CSS, and JS will go a long way. The more you know the above three technologies, the easier this book will be. Specifically, here is the minimum HTML, CSS, and jаvascript that you need to understand for this book to really be useful to you. In Chapter 4, I’ll be coding a Bootstrap layout, so it would be beneficial for you to either know the Bootstrap framework or read through the documentation at the official Bootstrap website. React is built on top of jаvascript. Thus, in order to be able to code in React, the more jаvascript you know, the better.

Название: Elliptic Curve Cryptography for Developers (MEAP v6)
Автор: Mike Rosing
Издательство: Manning Publications
Год: 2023
Страниц: 232
Язык: английский
Формат: pdf (true)
Размер: 10.17 MB

Learn how to implement smaller, more secure public key protocols with this accessible guide to Elliptic Curve Cryptography. Elliptic Curve Cryptography for Developers introduces a powerful alternative to the prime number-based RSA encryption standard based on the mathematics of elliptic curves. This book empowers anyone who knows basic calculus to implement state-of-the-art cryptographic protocols that are smaller and more secure than RSA-based systems. It gradually introduces the concepts and subroutines you’ll need to master with diagrams, flow charts, and accessible language. Elliptic Curve Cryptography (ECC) is the powerful security protocol used for everything from credit card transitions to the blockchain. The results are amazing; ECC delivers zero knowledge proofs and aggregated multi-signatures with smaller key sizes than the prime number-based RSA standard. This reader-friendly book guides you step-by-step until you’re ready to write embedded systems code with advanced mathematical algorithms. Each chapter covers new mathematical concepts, all clearly illustrated with graphics, example code, and exercises to build your understanding of the complex ideas. Finally, you’ll put all your ideas into action by building two hands-on blockchain software projects. By the time you’re done reading, you’ll know the basics and be ready to take the step to more advanced capabilities.

Название: Pydon'ts: Write elegant Python code (Update 2023)
Автор: Rodrigo Girão Serrão
Издательство: Leanpub
Год: 26-11-2023
Страниц: 462
Язык: английский
Формат: pdf (true)
Размер: 13.9 MB

Python has so many libraries that people often forget to take their time to learn about all the really interesting and useful features that Python offers. The Pydon'ts teach you these core features of Python, with plenty of code examples to show you how these features are used in real code in the real world. Python was not my first programming language, and I remember picking it up as a friend of mine recommended it to me. Now, many years later, I still enjoy writing Python code, whether for work-related reasons or for my own projects. In programming, much like in mathematics – my main area of expertise –, there is a sense of elegance in the code (or proofs) we write. As I learned more and more about programming in general and Python in particular, I developed a sense for what I consider to be elegant Python programs. This is one of the things I intend to share in this book: tips on how to write beautiful Python programs. Of course, the notion of elegance is a subjective one, so it may very well be the case that what I find elegant is not what you find elegant, and that is perfectly fine. In general, neither one of us will be wrong. Tied to my effort of sharing my interpretation of what elegant Python programs look like, I also want you to learn about all the nooks and crannies of the core language. Python is a very, very, rich language, and the more you learn about it, the more well equipped you will be to use it to its full potential. That is why every chapter focuses on exploring a single feature of the core language of Python, which is always accompanied by usage examples of said feature. Some times we will look at how Python’s own Standard Library makes use of that feature, other times I will show some of my own code, and other times I will even come up with random examples.

Название: Deep Learning for Medical Image Analysis, 2nd Edition
Автор: S. Kevin Zhou, Hayit Greenspan, Dinggang Shen
Издательство: Academic Press/Elsevier
Год: 2024
Страниц: 544
Язык: английский
Формат: pdf (true)
Размер: 23.5 MB

This book is a detailed reference guide on Deep Learning and its applications. It aims to provide a basic understanding of Deep Learning and its different architectures that are applied to process images, speech, and natural language. It explains basic concepts and many modern use cases through fifteen chapters contributed by Computer Science academics and researchers. By the end of the book, the reader will become familiar with different Deep Learning approaches and models, and understand how to implement various Deep Learning algorithms using multiple frameworks and libraries. This book is divided into three parts. The first part explains the basic operating understanding, history, evolution, and challenges associated with Deep Learning. The basic concepts of mathematics and the hardware requirements for Deep Learning implementation, and some of its popular frameworks for medical applications are also covered. The second part is dedicated to sentiment analysis using Deep Learning and Machine Learning techniques. This book section covers the experimentation and application of deep learning techniques and architectures in real-world applications. It details the salient approaches, issues, and challenges in building ethically aligned machines. An approach inspired by traditional Eastern thought and wisdom is also presented. The final part covers Artificial Intelligence approaches used to explain the Machine Learning models that enhance transparency for the benefit of users.

Название: Dirty Data Processing for Machine Learning
Автор: Zhixin Qi, Hongzhi Wang, Zejiao Dong
Издательство: Springer
Год: 2024
Страниц: 141
Язык: английский
Формат: pdf
Размер: 10.2 MB

In both the database and Machine Learning communities, data quality has become a serious issue which cannot be ignored. In this context, we refer to data with quality problems as “dirty data.” Clearly, for a given data mining or Machine Learning task, dirty data in both training and test datasets can affect the accuracy of results. Accordingly, this book analyzes the impacts of dirty data and explores effective methods for dirty data processing. Although existing data cleaning methods improve data quality dramatically, the cleaning costs are still high. If we knew how dirty data affected the accuracy of Machine Learning models, we could clean data selectively according to the accuracy requirements instead of cleaning all dirty data, which entails substantial costs. However, no book to date has studied the impacts of dirty data on Machine Learning models in terms of data quality. Filling precisely this gap, the book is intended for a broad audience ranging from researchers in the database and Machine Learning communities to industry practitioners. Readers will find valuable takeaway suggestions on: model selection and data cleaning; incomplete data classification with view-based decision trees; density-based clustering for incomplete data; the feature selection method, which reduces the time costs and guarantees the accuracy of Machine Learning models; and cost-sensitive decision tree induction approaches under different scenarios.

Название: Software Architecture and Decision-Making: Leveraging Leadership, Technology, and Product Management to Build Great Products (Final)
Автор: Srinath Perera
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 270
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Leverage leadership knowledge to make better software architecture decisions. Think deeply but implement slowly. The overarching goal of software systems (hence, for software architecture) is to build systems that meet quality standards and that provide the highest return on investment (ROI) in the long run or within a defined period of time. A great product requires a combination of technology, leadership, and product management (including UX). Leadership is primarily about managing uncertainty and making the right judgment. To build great products, technical leaders need to combine technology, leadership, and product management knowledge, and make the right decisions. Many technical mistakes come from the gap between knowledge about these three items and judgment. In Software Architecture and Decision-Making, Srinath Perera explains principles and concepts that software architects must understand deeply and how to employ those principles to manage uncertainty. The questions and principles discussed in this book help manage uncertainty while building software architecture and provide a framework for making decisions. This book is for all technical leaders in the software industry who make holistic judgments about the systems they build and for future leaders learning the craft.

Название: Picture Fuzzy Logic and Its Applications in Decision Making Problems
Автор: Chiranjibe Jana, Madhumangal Pal, Valentina Emilia Balas, Ronald R. Yager
Издательство: Academic Press/Elsevier
Год: 2024
Страниц: 296
Язык: английский
Формат: pdf (true), epub
Размер: 15.6 MB

Picture Fuzzy Logic and Its Applications in Decision Making Problems provides methodological frameworks and the latest empirical research findings in the field of picture fuzzy operators and their applications in scientific research and real-world engineering problems. In this book, picture fuzzy sets are investigated, and different types of operators are defined to solve a number of important decision-making and optimization problems. The hybrid operator on picture fuzzy set based on the combination of picture fuzzy weighted averaging operators and picture fuzzy weighted geometric operators is developed and named Hybrid Picture Fuzzy Weighted Averaging Geometric (H-PFWAG) operator. In addition, another operator is developed for interval-valued picture fuzzy environment, which is named Hybrid Interval-Valued Picture Fuzzy Weighted Averaging Geometric (H-IVPFWAG) operator. These two operators are then demonstrated as solutions to Multiple-Attribute Decision-Making (MADM) problems. The picture fuzzy soft weighted aggregation operators (averaging and geometric) are defined, and these are applied to develop a multi-criteria group decision making system.