Название: Fight Fraud with Machine Learning (MEAP v1)
Автор: Ashish Ranjan Jha
Издательство: Manning Publications
Год: 2023
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Financial and corporate fraud happen every day, and the fraudsters inevitably leave a digital trail. Machine learning techniques, including the latest generation of LLM-driven AI tools, help identify the telltale signals that a crime is taking place. Fight Fraud with Machine Learning teaches you how to apply cutting edge ML to identify fraud, find the fraudsters, and possibly even catch them in the act. Machine Learning, Artificial Intelligence (AI), has gained immense popularity in the last decade, especially with recent technological advancements such as ChatGPT. AI will eventually be a part of most if not all softwares. This book is an attempt to help integrate Machine Learning into the world of fraud detection. In this cutting-edge book you’ll develop scalable and tunable models that can spot and stop fraudulent activity in online transactions, data stores, even in digitized paper records. You’ll use Python to battle common scams like phishing and credit card fraud, along with new and emerging threats like voice spoofing and deepfakes.

Название: Reliability Analysis Using MINITAB and Python
Автор: Jaejin Hwang
Издательство: Wiley
Год: 2023
Страниц: 240
Язык: английский
Формат: epub
Размер: 80.4 MB

Complete overview of the theory and fundamentals of Reliability Analysis applied with Minitab and Python tools. Reliability Analysis Using Minitab and Python expertly applies Minitab and Python programs to the field of reliability engineering, presenting basic concepts and explaining step-by-step how to implement statistical distributions and reliability analysis methods using the two programming languages. The textbook enables readers to effectively use software to efficiently process massive amounts of data while also reducing human error. Examples and case studies as well as exercises and questions are included throughout to enable a smooth learning experience. Excel files containing the sample data and Minitab and Python example files are also provided.

Название: Introduction to Python for Humanists
Автор: William J.B. Mattingly
Издательство: CRC Press
Год: 2023
Страниц: 362
Язык: английский
Формат: pdf (true)
Размер: 25.4 MB

This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on learning the Python computer programming language, and as it presumes no knowledge on the part of the reader about computers or coding concepts allows the reader to gradually learn the more complex tasks that are currently popular in the field of digital humanities. This book will be aimed at undergraduates, graduates, and faculty who are interested in learning how to use Python as a tool within their workflow. An Introduction to Python for Digital Humanists will act as a primer for students who wish to use Python, allowing them to engage with more advanced textbooks. This book fills a real need, as it is first Python introduction to be aimed squarely at humanities students, as other books currently available do not approach Python from a humanities perspective. It will be designed so that those experienced in Python can teach from it, in addition to allowing those who are interested in being self-taught can use it for that purpose.

Название: Think Like a Software Engineering Manager (MEAP v5)
Автор: Akanksha Gupta
Издательство: Manning Publications
Год: 2023
Страниц: 423
Язык: английский
Формат: pdf, epub
Размер: 11.2 MB

Unlock your full potential as an effective, efficient, and inspiring leader, and be the software engineering manager that your team deserves! Most dev teams are only as good as their leader. Think Like a Software Engineering Manager teaches you the skills you need to hire, train, and lead a successful software development team. In this practical guide, you’ll explore all aspects of the Software Engineering manager’s job, from operational practices along the software development lifecycle to the core skills of handling humans. Experienced team leader Akansha Gupta provides a well-tested framework that can help you handle almost any quandary or crisis, along with interesting and revelatory stories about her experience as an engineering manager. You’ll quickly progress to the secrets of delivering large scale projects, implementing DevOps, and managing change—everything you need to lead like a pro.

Название: Julia for Data Science (MEAP v3)
Автор: İlker Arslan
Издательство: Manning Publications
Год: 2023
Страниц: 228
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

These hands-on projects will level-up your Julia skills for Data Science, Machine Learning, and more. Julia for Data Science tests and improves your Julia skills on the kind of tasks data scientists perform every day. These challenging projects will work out your Julia skills for importing, cleaning, manipulating, and visualizing data. As you read, you’ll learn to take advantage of Julia’s full potential, as you develop high-performance deep learning algorithms and tackle supervised and unsupervised learning. When you think “language flexibility,” think Julia. Designed to solve the “two-language problem”, Julia offers the best of both worlds: the simple and flexible syntax you need for data exploration, and the lightning-fast execution speeds demanded for production deployment. Plus, its growing ecosystem of data science libraries and ability to convert code to run on GPUs make Julia a real contender for building complex Machine Learning applications that don’t leave you waiting days to see results.

Название: Designing Deep Learning Systems: A software engineer's guide (MEAP v8)
Автор: Chi Wang, Donald Szeto
Издательство: Manning Publications
Год: 2023
Страниц: 475
Язык: английский
Формат: pdf, epub
Размер: 20.2 MB

A vital guide to building the platforms and systems that bring Deep Learning models to production. Deep learning systems are the components and infrastructure essential to supporting a Deep Learning model in a production environment. Written especially for software engineers with minimal knowledge of deep learning’s design requirements, Designing Deep Learning Systems is full of hands-on examples that will help you transfer your software development skills to creating these deep learning platforms. You’ll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting—and lucrative—career as a Deep Learning engineer. To be practically usable, a Deep Learning model must be built into a software platform. As a software engineer, you need a deep understanding of deep learning to create such a system. This book gives you that depth.

Название: Logging in Python
Автор: Venkatesh-Prasad Ranganath
Издательство: Leanpub
Год: 2022-01-15
Язык: английский
Формат: pdf (true), epub
Размер: 12.9 MB

A breezy guide to using Python's built-in support for logging. The guide covers general concepts relevant to logging, logging APIs in Python and how to use them, and good practices, gotchas, and performance considerations associated with these APIs. Logging is an integral part of most modern apps. Almost all programming platforms provide built-in logging support with copious documentation. However, using logging APIs well takes some effort as one has to read the documentation and experiment with code samples. This guide is an attempt to reduce this effort and help developers to quickly be productive with logging API offered by Python's logging module. The guide is intended to supplement the reference documentation of Python's logging module.

Название: Квантовые вычисления и функциональное программирование
Автор: Душкин Р.В.
Издательство: Москва
Год: 2015
Cтраниц: 232
Формат: pdf (ocr)
Размер: 11 мб
Язык: русский

В книге рассматриваются вопросы наиболее перспективного направления исследований в информационно-коммуникационных технологиях — модели квантовых вычислений. Текст построен как можно более просто — главной задачей автор поставил для себя возможность чтения книги без наличия специальных знаний по квантовой механике и другим естественным наукам, наполненным математическим анализом.

Название: Head First. Изучаем Swift
Автор: Джон Мэннинг, Пэрис Баттфилд-Эддисон
Издательство: Питер
Год: 2023
Страниц: 399
Язык: русский
Формат: pdf
Размер: 15.7 MB

Swift известен как язык разработки приложений, выбранный компанией Apple для iOS, iPadOS, macOS, watchOS и tvOS. Но этим его применение не ограничивается. Swift с открытым кодом набирает популярность как язык системного программирования и программирования на стороне сервера, его используют и в Linux, и в Windows. С чего же начать? «Head First. Изучаем Swift» охватывает все актуальные темы — от сбора и управления данными до повторного использования кода, построения нестандартных типов данных и структурирования программ и пользовательских интерфейсов в SwiftUI. Изучив Swift, вы будете готовы строить любые приложения — от мобильных и веб-приложений до игр, фреймворков, средств командной строки и многого другого.

Название: Python Programming Recipes for IoT Applications
Автор: Jivan S. Parab, Madhusudan Ganuji Lanjewar, Marlon Darius Sequeira
Издательство: Springer
Год: 2023
Страниц: 205
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The book comprehensively covers the most important applications of the Internet of Things (IoT) using Python programming on Raspberry Pi, Micropython Py Board, and NVIDIA Jetson Board. The authors have used an immersive ‘hands-on’ approach to help readers gain expertise in developing working code for real-world IoT applications. The book focuses on industry-standard embedded platforms for IoT applications. It also gives a glimpse of python programming and setup configuration of these embedded platforms. The later chapter highlights basic interface applications with Raspberry Pi. Exclusive advanced IoT applications on the Micropython Pyboard are also covered. The last two chapters deal with the NVIDIA Jetson Nano board programming for Machine Learning applications with FoG/cloud computing.