Название: Spatial Analysis in Geology Using R
Автор: Pedro M. Nogueira
Издательство: CRC Press
Серия: The R Series
Год: 2024
Страниц: 452
Язык: английский
Формат: pdf (true)
Размер: 25.5 MB

The integration of geology with Data Science disciplines, such as spatial statistics, remote sensing, and geographic information systems (GIS), has given rise to a shift in many schools, pushing the boundaries of knowledge and enabling new discoveries in geological processes and earth systems. Spatial analysis of geological data can be used to identify patterns and trends in data, to map spatial relationships, and to model spatial processes. R is a consolidated and yet growing statistical programming language with increasing value in spatial analysis often replacing, with advantage, GIS tools. By providing a comprehensive guide for geologists to harness the power of spatial analysis in R, Spatial Analysis in Geology Using serves as a tool in addressing real-world problems, such as natural resource management, environmental conservation, and hazard prediction and mitigation. With a free and open-source software environment that is well-suited for spatial data analysis, it has a wide range of statistical and graphical functions that are easy to learn and use.This book is intended to provide a hands-on introduction to spatial analysis in geology using R. It is aimed at people who have acquired elementary spatial analysis skills often using GIS but who are interested in deepening their skills. The book will also be of interest to graduate students and researchers who are interested in using R for spatial analysis in geology. There are a number of reasons why you might want to use R for spatial analysis. R is a free and open-source software environment, which means that it is available to everyone, with a plethora of statistical and graphical functions. Additionally, R is very easy to learn and use, even if you do not have any prior programming experience.

Название: Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face
Автор: Prem Timsina
Издательство: BPB Publications
Год: 2024
Страниц: 310
Язык: английский
Формат: pdf, epub (true)
Размер: 12.7 MB

Your key to transformer based NLP, vision, speech, and multimodalities. This book covers transformer architecture for various applications including NLP, Computer Vision, speech processing, and predictive modeling with tabular data. It is a valuable resource for anyone looking to harness the power of transformer architecture in their Machine Learning projects. The book provides a step-by-step guide to building transformer models from scratch and fine-tuning pre-trained open-source models. It explores foundational model architecture, including GPT, VIT, Whisper, TabTransformer, Stable Diffusion, and the core principles for solving various problems with transformers. The book also covers transfer learning, model training, and fine-tuning, and discusses how to utilize recent models from Hugging Face. Additionally, the book explores advanced topics such as model benchmarking, multimodal learning, reinforcement learning, and deploying and serving transformer models. In conclusion, this book offers a comprehensive and thorough guide to transformer models and their various applications. This book provides both theoretical and practical understanding of transformer architecture. Specifically, we will cover these ML tasks: Natural Language Processing (NLP), Computer Vision, Speech Processing, Tabular Data Processing, Reinforcement Learning, and Multi-Modalities. The pre-requisite for this book is basic understanding of PyTorch and Deep Learning. This book will benefit data scientists and ML engineers who are seeking to enhance their knowledge of transformer models and learn how to develop ML engines using the transformer architecture and Hugging Face’s transformer library. It will also be valuable for developers and software architects looking to integrate transformer-based models into their existing software products.

Название: Building Dynamic Web Experiences with PHP: Harness the power of PHP to build dynamic and scalable websites
Автор: Surabhi Shanker
Издательство: BPB Publications
Год: 2024
Страниц: 234
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Master PHP fundamentals for efficient web development. This book covers a wide range of topics starting with the introduction of web applications, including client-side and server-side scripting, different categories of web applications, and the installation process of popular server environments like WAMP, LAMP, XAMPP, and MAMP. The book contains the basics of PHP, including its history, features, and advantages, with setting up a PHP development environment. It covers PHP basics like variables, constants, data types, operators, control structures, and functions, providing a solid foundation for web development. Next, you will learn about forms, user input, cookies, and sessions, creating web pages with GUI components, validating user input both client-side and server-side, and handling cookies and sessions in PHP. It also covers PHP strings, file handling, and database operations, including connecting to a MySQL database and using database handling functions. Lastly, you will get the hang of object-oriented programming, security, debugging, and performance optimization using PHP frameworks and working with APIs and web services. The book is tailored for beginners with a desire to learn PHP and build interactive websites from scratch, and web developers or programmers who are looking to deepen their understanding of PHP.

Название: Usability and User Experience Design: The Comprehensive Guide to Data-Driven UX Design
Автор: Benjamin Franz, Michaela Kauer-Franz
Издательство: Rheinwerk Publishing Inc.
Год: 2024
Страниц: 737
Язык: английский
Формат: epub (true)
Размер: 62.1 MB

Calling all designers and developers! This is your all-in-one guide to data-driven UX design for digital products. See how an effective user experience incorporates insights from psychology, design principles, and practical data. Follow a proven approach for selecting your design methods, and then walk through the data-driven UX design process in detail: analyze the context of use, specify requirements, develop solution prototypes, and test your products. Learn from example case studies and full-color illustrations to take your design to the next level! In this book, you’ll learn аbout: a. Theory of Design: What makes design effective? Get to know the building blocks that create an incredible user experience: ergonomics and usability, data evaluation, user research, human information processing, design principles, and more. b. UX Design Process: Master data-driven UX design. Explore methods to analyze the context of use for your design project. Use techniques such as prototypes and wireframes to develop a design solution, and then refine it through usability and UX testing. c. Design in Action: See examples of design come to life! Follow three case studies that illustrate the design process for digital products: a B2C mobility application, a B2B customer relationship management application, and a B2C/B2B medical appointment portal. During the conception of this handbook, we thought long and hard about who the audience for this book is and who would benefit the most from it. Especially when you’re already familiar with a topic like user experience (UX) design, deciding who needs what content isn’t an easy task. Much knowledge seems self-evident because of years of experience and daily involvement with a topic.

Название: Unlock PHP 8: From Basic to Advanced: The next-level PHP 8 guide for dynamic web development
Автор: Roni Sommerfeld
Издательство: BPB Publications
Год: 2024
Страниц: 418
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

PHP 8+: Elevate your web development skills to new heights. This comprehensive guide starts with the fundamentals and gradually progresses to advanced techniques. It provides a structured learning path with clear explanations, practical examples, and hands-on exercises, equipping you with the skills to build modern websites and interactive web applications. Explore what is new in PHP 8 with this comprehensive guide, excellent for web developers looking to start or refresh their skills and adopt the latest advances in PHP. From the fundamentals to advanced features, this book covers everything you need to know about PHP 8, including migrating from an old version of PHP, object-oriented programming, error handling, and database integration. With practical advice on security and performance best practices, it is an essential reading for those who want to stay ahead in the fast-paced world of web development. By the end of this comprehensive guide, you will be a confident PHP 8 developer with the knowledge and skills to build modern, secure, and performant web applications. You will be comfortable working with data structures, interacting with databases, and creating dynamic user experiences. This book is designed as a comprehensive guide to exploring PHP 8 in depth, from the basic fundamentals to the advanced features that define this version. Covering topics such as functions, form management, sessions and cookies, arrays and collections, object-oriented programming (OOP), error and exception handling, data persistence, and advanced development practices, the book is an indispensable resource for anyone involved in web development.

Название: jаvascript Native Interface: Build cross-platform apps with native performance
Автор: Tony Gaitatzis
Издательство: BackupBrain
Год: 2024
Страниц: 194
Язык: английский
Формат: pdf, epub
Размер: 10.9 MB

In mobile development, there is a trade-off between portability code and fast execution. A new feature of React Native called jаvascript Native Interface (JSI) removes that trade-off by allowing developers to write portable code that executes as binary code on the native device. jаvascript Interface (JSI) is a lightweight, general-purpose API provided by Facebook for interacting with jаvascript data types and functions in C++ code. Introduced in the context of React Native, JSI offers a way to call C++ functions directly from jаvascript and vice versa. Before JSI, React Native used a “Native Bridge” feature, which required that developers write native code in the device-native language, for example Swift on iOS and Java or Kotlin on Android. React Native developers who wanted to have the performance of a native app therefore needed to maintain two code-bases for the same features. JSI solves this by allowing developers to maintain high-performance code in only one language: C++. While JSI brings numerous advantages, especially for complex and performance-critical applications, it's worth noting that it requires a good understanding of both C++ and jаvascript, as well as the internals of React Native. As such, it's often used for building advanced features, or optimizing performance-critical paths. This book is intended for programmers, engineers, and technology enthusiasts who want to learn about mobile development.

Название: Artificial Intelligence for Risk Mitigation in the Financial Industry
Автор: Ambrish Kumar Mishra, Shweta Anand, Narayan C. Debnath
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 384
Язык: английский
Формат: epub (true)
Размер: 10.8 MB

This book extensively explores the implementation of Artificial Intelligence (AI) in the risk mitigation process and provides information for auditing, banking, and financial sectors on how to reduce risk and enhance effective reliability. The applications of the financial industry incorporate vast volumes of structured and unstructured data to gain insight into the financial and non-financial performance of companies. As a result of exponentially increasing data, auditors and management professionals need to enhance processing capabilities while maintaining the effectiveness and reliability of the risk mitigation process. The risk mitigation and audit procedures are processes involving the progression of activities to "transform inputs into output." As Artificial Intelligence systems continue to grow mainstream, it is difficult to imagine an aspect of risk mitigation in the financial industry that will not require AI-related assurance or AI-assisted advisory services. AI can be used as a strong tool in many ways, like the prevention of fraud, money laundering, and cybercrime, detection of risks and probability of NPAs at early stages, sound lending, etc. Artificial Intelligence (AI) can enhance the efficiency and effectiveness of risk management in the financial sector using Deep Learning, Machine Learning algorithms, and Natural Language Processing (NLP). These methods can be used to ascertain the existence of potential threats, unearth fraudulent activities, and provide predictive analytics that are helpful in making decisions. The application of Artificial Intelligence to risk management has the potential to significantly improve decision-making and to reduce risks and raise overall financial stability.

Название: Fundamentals Of Python: First Programs (MindTap Course List), 3rd Edition
Автор: Kenneth A. Lambert
Издательство: Cengage Learning
Год: 2024
Страниц: 482
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Master today's required Computer Science topics while preparing for further study with Lambert's FUNDAMENTALS OF PYTHON: FIRST PROGRAMS. This book's easygoing approach is ideal, no matter what your background. The approach starts with simple algorithmic code and then scales into working with functions, objects, and classes as the problems become more complex and require new abstraction mechanisms. Rather than working only with numeric or text-based applications like other introductory texts, this edition presents graphics, image manipulation, GUIs, and simple networked client/server applications. The author uses Python's standard Turtle graphics module to introduce graphics and to provide open source frameworks for easy image processing and GUI application development. This book uses the Python programming language as a way of making the first year of studying Computer Science more manageable and attractive for students and instructors alike.

Название: Industrial Recommender System: Principles, Technologies and Enterprise Applications
Автор: Lantao Hu, Yueting Li, Guangfan Cui, Kexin Yi
Издательство: Springer/Publishing House of Electronics Industry
Год: 2024
Страниц: 256
Язык: английский
Формат: pdf (true), epub
Размер: 54.0 MB

Recommender systems, as a highly popular Artificial Intelligence (AI) technology in recent years, have been widely applied across various industries. They have transformed the way we interact with technology, influencing our choices and shaping our experiences. This book provides a comprehensive introduction to industrial recommender systems, starting with the overview of the technical framework, gradually delving into each core module such as content understanding, user profiling, recall, ranking, re-ranking and so on, and introducing the key technologies and practices in enterprises. The book also addresses common challenges in recommendation cold start, recommendation bias and debiasing. Additionally, it introduces advanced technologies in the field, such as Reinforcement Learning, causal inference. Professionals working in the fields of recommender systems, computational advertising, and search will find this book valuable. It is also suitable for undergraduate, graduate, and doctoral students majoring in Artificial Intelligence, Computer Science, software engineering, and related disciplines. Furthermore, it caters to readers with an interest in recommender systems, providing them with an understanding of the foundational framework, insights into core technologies, and advancements in industrial recommender systems.

Название: Large Language Models in Cybersecurity: Threats, Exposure and Mitigation
Автор: Andrei Kucharavy, Octave Plancherel, Valentin Mulder, Alain Mermoud
Издательство: Springer
Год: 2024
Страниц: 249
Язык: английский
Формат: pdf (true)
Размер: 11.3 MB

This book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs. Eventually, in Part IV, mitigation techniques that should allow safe and secure development and deployment of LLMs are presented. The book concludes with two final chapters in Part V, one speculating what a secure design and integration of LLMs from first principles would look like and the other presenting a summary of the duality of LLMs in cyber-security. While the general public discovered Large Language Models (LLMs) with ChatGPT—a generative autoregressive model, they are far from the only models in the LLM family. Various architectures and training regiments optimized for specific usages were designed throughout their development, which were then classified as different LLM families.