Название: Building Business Models with Machine Learning
Автор: Ambika N, Vishal Jain, Cristian González García, Dac-Nhuong Le
Издательство: IGI Global
Год: 2025
Страниц: 308
Язык: английский
Формат: pdf (true), epub
Размер: 14.9 MB

Organizations worldwide grapple with the complexities of incorporating Machine Learning (ML) into their business models while ensuring sustainability. Decision-makers, data scientists, and business executives face the challenge of navigating this terrain to drive innovation and maintain a competitive edge. Building Business Models with Machine Learning provides a comprehensive solution, offering practical insights and strategies for integrating Machine Learning into organizational plans. By bridging the gap between theory and practice, we empower readers to leverage Machine Learning effectively, enabling them to develop resilient and flexible business models. Chapter 1: Financial fraud remains a significant concern across various industries, particularly in sectors reliant on financial transactions. This chapter delves into the application of ML for improving fraud detection capabilities within the financial sector. A thorough review of existing literature is presented, examining various ML algorithms, including Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), and Convolutional Neural Networks (CNN), and their effectiveness in detecting fraudulent activities.

Название: Building bitcoin in Rust
Автор: Lukas Hozda
Издательство: Braiins
Год: 2024
Страниц: 419
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

"Building bitcoin in Rust" by Lukáš Hozda is an accessible guide for those interested in both the Rust programming language and bitcoin technology. Designed for IT students and professionals, this book takes readers through the process of understanding bitcoin’s core concepts while simultaneously teaching them to build projects in Rust. It’s perfect for anyone who is curious about Rust, a programming language praised for its safety and performance, or bitcoin, the world’s first decentralized cryptocurrency. Through hands-on development of a bitcoin miner, wallet, and node, this book helps readers sharpen their Rust skills and explore bitcoin’s infrastructure, making it an ideal starting point for building on bitcoin.

Название: Introduction to Computer Science
Автор: Jean-Claude Franchitti
Издательство: OpenStax
Год: 2024
Страниц: 945
Язык: английский
Формат: pdf (true)
Размер: 50.9 MB

Introduction to Computer Science provides a comprehensive foundation in core Computer Science concepts and principles, aligning with the scope and sequence of most introductory Computer Science courses. The offering serves as an engaging entry point for students pursuing diverse fields of study and employment, including Computer Science, business, engineering, Data Science, social sciences, and related disciplines. By addressing a broad learner audience—ranging from Computer Science majors to non-majors—the book offers a thorough introduction to computational thinking and its applications across multiple domains. This book will introduce the computational thinking aspects of problem-solving and analytical thinking that enable the study of algorithms, which are step-by-step instructions for solving specific problems or carrying out computations. Therefore, this book also covers algorithms and their realization via programming languages, computer systems architectures, networks, and operating systems. The book subsequently delves into Computer Science areas that enable the design and development of software solutions using high-level programming languages, architectural styles and related models, data management systems, and software engineering.

Название: Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps
Автор: Sandar Van Laan, Jared Matfess, Thomas Flock, Ann Reid
Издательство: Wiley
Год: 2025
Страниц: 368
Язык: английский
Формат: epub (true)
Размер: 50.1 MB

Learn to leverage Microsoft's new AI tool, Copilot, for enhanced productivity at work. In Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps, a team of software and AI experts delivers a comprehensive guide to unlocking the full potential of Microsoft's groundbreaking AI tool, Copilot. Written for people new to AI, as well as experienced users, this book provides a hands-on roadmap for integrating Copilot into your daily workflow. You'll find the knowledge and strategies you need to maximize your team's productivity and drive success. The authors offer you a unique opportunity to gain a deep understanding of AI fundamentals, including Machine Learning, large language models (LLMs), and Generative AI (GenAI) versus summative AI. The book also dives into deeper topics related to developing tools that build on top of Copilot, including how to create your own developer environment and use it to create custom copilots using Copilot Studio and Azure OpenAI.

Название: Mastering ArcGIS Pro, 2nd Edition
Автор: Maribeth H. Price
Издательство: McGraw Hill
Год: 2023
Страниц: 449
Язык: английский
Формат: pdf (true)
Размер: 30.9 MB

Mastering ArcGIS Pro introduces the basic ideas behind GIS, teaching the concepts and skills needed to enter this rapidly evolving industry or use GIS in your current discipline. Based on the widely used ArcGIS software developed by Esri, Inc., this text integrates learning fundamental concepts with practicing software skills and is suitable for classroom use or for professionals studying independently. ArcGIS Pro includes many distinct program routines (tools) used to accomplish specific tasks. A user can also create custom tools (models) or write programs (scripts) in a language called Python. Esri has adopted the open-source language Python as its recommended scripting platform. A copy of Python is installed with ArcGIS, and all Esri scripting examples and supplemental tools are written in Python.

Название: Artificial Intelligence Technologies for Engineering Applications
Автор: G. Sucharitha, Anjanna Matta, M. Srinivas, Sachi Nandan Mohanty
Издательство: CRC Press
Год: 2025
Страниц: 345
Язык: английский
Формат: pdf (true), epub
Размер: 29.9 MB

This book enables the readers to design, optimize, and control complex systems with greater precision and efficiency. It further provides practical insights and presents case studies for readers interested in exploring the intersections between Artificial Intelligence (AI) and industry. This book discusses important topics such as algorithmic design, mathematical modeling, natural language processing (NLP), Machine Learning, and Computer Vision. This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, Computer Science and engineering, and information technology.

Название: C++ & Python Coding Manual - 6th Edition 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год выхода: 2024
Страниц: 145
Формат: PDF
Размер: 79 MB
Язык: английский

Усовершенствуйте свои навыки, изучив основы Python и C++! Высококачественные справочники и подробные руководства от команды экспертов по изучению Python и применению его в реальных программах. Понимание основ C++ и навыков оптимизации кода. Python и C++ - самые мощные и универсальные языки программирования. Понимание и овладение ими позволяет нам лучше разбираться в современных технологиях и как они взаимодействуют с нами и окружающей средой.

Название: Isogeometric Analysis for Engineers via MATLAB
Автор: Ed Akin
Издательство: World Scientific Publishing
Год: 2025
Страниц: 476
Язык: английский
Формат: pdf (true)
Размер: 21.7 MB

This unique compendium approaches the relatively new Isogeometric Analysis (IGA) methods at senior undergraduates level in engineering or applied mathematics. It describes the differences between the well-established Finite Element Analysis (FEA) methods and why they are being replaced, or enhanced, by the latest developments in IGA.The book begins with summaries of the concepts of B-splines, NURBS, and 'knot vectors' which define them as exact representations of the geometry and as powerful analysis functions having higher continuity than the FEA use of Lagrange polynomials. The useful reference text includes Appendices with Matlab scripts for creating B-spline basis functions, topics in computer aided geometric design (CAGD) from which IGA arose, and matrix operations common to IGA and FEA. It also informs FEA users of the enhancements offered by IGA.

Название: Generative AI For Executives: A Strategic Roadmap for Your Organization
Автор: Ahmed Bouzid, Paolo Narciso, Weiye Ma
Издательство: Apress
Год: 2024
Страниц: 194
Язык: английский
Формат: pdf (true), epub (true), rtf, mobi
Размер: 10.1 MB

In the fast-evolving digital landscape, understanding the potential of generative AI is a strategic advantage. This book can serve as an easy to read introduction to the topic of the transformative power of AI in content creation, customer engagement, and operational efficiency. By deciphering complex AI concepts into practical insights, we empower decision-makers to envision innovative strategies, foster cross-industry collaborations, and navigate ethical considerations. The book will help executives and business decision makers to harness the immense potential of generative AI responsibly, ensuring data integrity and compliance while fostering a competitive edge. The book is focused on (1) Explaining in jargon-free language what Generative AI, and AI in general, (2) What problems they solve, and (3) What technologies make them possible.

Название: Machine Learning in Transportation: Applications with Examples and Codes
Автор: Niharika Dayyala, Nivedya Madankara Kottayi, Rajib Basu Mallick
Издательство: De Gruyter
Год: 2025
Страниц: 172
Язык: английский
Формат: pdf (true), epub
Размер: 47.7 MB

The book introduces the reader to Machine Learning in transportation. It discusses both simple and advanced concepts including core statistics, data wrangling, data visualization, supervised and unsupervised datamining techniques as well as text mining. The book prepares students to manage data, visualize data and apply appropriate Machine Learning techniques on transportation datasets to derive important insights. - State-of-the-art techniques in Machine Learning; - Applications in transportation engineering; - Includes MATLAB and Python codes. Deep Learning is a subset of Machine Learning, a subset of Artificial Intelligence (AI). In Deep Learning, the applicable concept is that the algorithm extracts the features based on which it can classify or regress, rather than the user having to specify them. The goal of the ANN is to output a function that matches the output, as given by the training data.