Название: Hands-On Object-Oriented Programming: Mastering OOP Features for Real-World Software Systems Development
Автор: Anil Kumar Rangisetti
Издательство: Apress
Год: 2024
Страниц: 582
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Learn how to easily design and implement a software system using object-oriented programming. Through hands-on activities, this book equips you with the real-world practice needed to master OOP skills that can be applied universally across any programming language. This book is dedicated to bridging the gap between theoretical concepts and practical implementation in software development using OOP. Readers will first understand the importance of OOP in handling software complexities before learning how to model real-world problems through access control, extendible object design, and object relationships. Specifically, the author discusses how to use inheritance, association, and polymorphism concepts for implementing reusable and easy-to-use complex software. More importantly, this book covers design patterns and event-driven programming for learning how to model complex interactions among various objects of the software system to implement various use cases. Unlike existing books on OOP which teach syntax and semantics through standard examples, this book leverages an immersive learning experience through a variety of real-world use cases, applications, games, and system software. While written in C++, the skills can be applied to any OOP language of the reader's preference. The book's last chapters will quickly introduce Python and Solidity languages for learning advanced technologies. By the end, novice and seasoned developers will know how to implement practical and reusable software systems with confidence. For beginners and intermediate software developers with basic programming knowledge to quickly learn OOP concepts with C++.

Название: UML для простых смертных
Автор: Роберт Максимчук, Эрик Нейбург
Издательство: Лори
Год: 2024
Формат: PDF
Страниц: 302
Размер: 33 Mb
Язык: Русский

"UML для простых смертных" является прекрасным руководством, в котором показываю преимущества применения UML. Эта книга знакомит читателя с различными типами диаграмм и методиками моделирования; в ней приводятся случаи из реальной жизни, которые объясняют, каким образом UML может помочь вам и вашей команде. Книга станет очень ценной для любого, кто управляет организациями, проектами или командами или хочет стать таким.

Название: Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines
Автор: Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 556
Язык: английский
Формат: epub
Размер: 15.6 MB

Using Machine Learning for products, services, and critical business processes is quite different from using ML in an academic or research setting—especially for recent ML graduates and those moving from research to a commercial environment. Whether you currently work to create products and services that use ML, or would like to in the future, this practical book gives you a broad view of the entire field. Authors Robert Crowe, Hannes Hapke, Emily Caveness, and Di Zhu help you identify topics that you can dive into deeper, along with reference materials and tutorials that teach you the details. You'll learn the state of the art of Machine Learning engineering, including a wide range of topics such as modeling, deployment, and MLOps. You'll learn the basics and advanced aspects to understand the production ML lifecycle. If you’re working in ML/AI or if you want to work in ML/AI in any way other than pure research, this book is for you. It’s primarily focused on people who will have a job title of “ML engineer” or something similar, but in many cases, they’ll also be considered data scientists (the difference between the two job descriptions is often murky). On a more fundamental level, this book is for people who need to know about taking ML/AI technologies and using them to create new products and services. Putting models and applications into production might be the main focus of your job, or it might be something that you do occasionally, or it might even be something done by a team you collaborate with.

Название: The AI Revolution in Customer Service and Support: A Practical Guide to Impactful Deployment of AI to Best Serve Your Customers (Final Release)
Автор: Ross Smith, Mayte Cubino, Emily McKeon
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2025
Страниц: 546
Язык: английский
Формат: pdf (true), epub
Размер: 41.2 MB

In the rapidly evolving AI landscape, customer service and support professionals find themselves in a prime position to take advantage of this innovative technology to drive customer success. The AI Revolution in Customer Service and Support is a practical guide for professionals who want to harness the power of generative AI within their organizations to create more powerful customer and employee experiences. This book is designed to equip you with the knowledge and confidence to embrace the AI revolution and integrate the technology, such as large language models (LLMs), machine learning, predictive analytics, and gamified learning, into the customer experience. Start your journey toward leveraging this technology effectively to optimize organizational productivity. Generative AI has made amazing advances in the last year, and customer service and support is one of the most important areas where this new technology can have an immediate impact. While the technology is not yet in a place where it will fully replace agents and support engineers, it can do wonders to dramatically improve customer experience while also contribute to the optimization of productivity in various ways. This book help readers understand how and where to incorporate AI technology into the flow of the customer experience. Large Language Models (LLMs) are the latest and most advanced stage of LMs, which aim to build very large-scale and powerful LMs that can generate natural language texts across multiple domains and tasks, given minimal or no supervision. LLMs rely on massive amounts of computation and data and use sophisticated optimization and regularization techniques, such as self-attention, dropout, or layer normalization, to train billions or trillions of parameters. Some of the most prominent examples of LLMs are GPT-3, GPT-3.5 (Instruct GPT) and GPT-4, developed by OpenAI.

Название: Applications of Artificial Intelligence in Business and Finance 5.0
Автор: Richa Goel, Vikas Garg, Michela Floris
Издательство: Apple Academic Press/CRC Press
Год: 2025
Страниц: 285
Язык: английский
Формат: pdf (true), epub
Размер: 21.8 MB

This new book provides a valuable overview of how Artificial Intelligence (AI) applications are transforming global businesses and financial organizations, looking at the newest Artificial Intelligence-based solutions for e-commerce, corporate management, finance, banking and trading, and more. Chapters look at using AI and Machine Learning techniques to forecast and assess financial risks such as liquidity risk, volatility risk, and credit risk. The book also describes the use of natural language processing (NLP) and text mining paired with Machine Learning models to assist in guiding sophisticated investors and corporate managers in financial decision making. Other topics include cryptocurrency in emerging markets; the role of Artificial Intelligencee in making a positive impact on sustainable development; the use of fintech for micro, small and medium enterprises; the role of AI i financial education; the application of Artificial Intelligence in cyber security; and more. Overviews how Artificial Intelligence (AI) applications are transforming global businesses and financial organizations, looking at the newest Artificial Intelligence-based solutions for e-commerce, corporate management, finance, banking, and trading, and more. Explores AI and ML techniques to forecast and assess different financial risks.

Название: Build Your Own Neural Networks: Step-By-Step Explanation For Beginners
Автор: Kilho Shin
Издательство: Independently published
Год: 2024
Страниц: 210
Язык: английский
Формат: epub
Размер: 10.1 MB

Are you curious about how neural networks work and want to build your own from scratch? "Build Your Own Neural Networks" is the perfect guide for beginners looking to dive into the fascinating world of Artificial Intelligence (AI). "Build Your Own Neural Networks: Step-By-Step Explanation For Beginners" is designed to demystify the complexities of neural networks for those who are new to the field of Deep Learning. This book is your comprehensive guide to understanding and implementing neural networks from the ground up, using the PyTorch framework. Each chapter is structured to provide hands-on experience with practical code examples, detailed step-by-step explanations, and engaging mini-projects that ensure a practical understanding of the concepts discussed. This approach not only enhances learning but also makes the journey fun and interactive. By avoiding complex jargon and focusing on clear, simple explanations, we ensure that you gain a solid foundation in neural networks without feeling overwhelmed. To break down the abstract world of Neural Networks, we will start with one concrete tool- Python, amongst the most popular languages for Machine Learning (ML) and Deep Learning (DL) development. To best exploit Python’s various capabilities, an understanding of some fundamental concepts and functions is essential. This book is ideal for anyone who has a basic understanding of programming and a curiosity about AI and ML. Whether you are a student, a hobbyist, or a professional looking to switch careers, this book will equip you with the knowledge you need to start building your own neural networks. It's especially useful for readers who prefer learning by doing and enjoy hands-on projects that reinforce learning. No prior experience with Deep Learning frameworks is required, as we start from the very basics and gradually progress to more complex topics.

Название: Extending & Embedding Python Using C
Автор: Mike James
Издательство: I/O Press
Год: 2023
Страниц: 265
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Writing a C extension for Python is good for fun and profit! The fun part is that adding Python to C gives you so much more power and a deeper understanding of how Python works. The internals of Python are worth knowing about because they suggest new approaches to other problems. As well as being interesting, it is also a valuable skill. Extending & Embedding Python Using C tells you everything you need to know about the C API, which is what you use to create an extension. It is essentially the Python runtime and so exploring it tells you a lot about Python. You don’t need to be an expert Python programmer to create an extension, but it helps. As you are going to be writing mostly C code, programming in C is a more important skill for this task. While you don’t have to be a C expert, you do need to be reasonably competent and C aficionados will enjoy finding out about some of the clever techniques in use in the C API. Extending Python is a way of bringing any C-based application or library to a much wider audience. Converting Python functions into C functions is also a way of speeding things up. Moreover, you can provide access to hardware or system features that are usually inaccessible by creating an extension. The final chapter explains how to convert the skills you have gained in creating a Python extension to embed Python in a C program. This is a less common requirement, but it has some interesting advantages and possibilities and once you know how to create a Python extension it is easy.

Название: Deep C Dives: Adventures in C
Автор: Mike James
Издательство: I/O Press
Год: 2024
Страниц: 245
Язык: английский
Формат: pdf (true), epub
Размер: 10.0 MB

C is a language with a long past and probably a long future. Being one step up from assembler, it keeps the programmer close to the hardware and if you want to understand how your code takes control without all of the abstractions applied in other languages, C is the one to choose. The only problem is that many books and articles on the subject of C are written by programmers who are happier in higher-level languages – they tend to look down on C and try to explain it as if it were a defective Java or some other language. In Deep C Dives, Mike James provides in-depth exploration of the essence of C, identifying the strengths of its distinctive traits. This reveals that C has a very special place among the programming languages of today as a powerful and versatile option for low-level programming, something that is often overlooked in books written by programmers who would really rather be using a higher-level language. To emphasize the way in which chapters of this book focus on specific topics, they are referred to as “dives”, something that also implies a deep examination of the subject, suitable for programmers who already program in C. The intention is that you will encounter some things that you already know but will come to see them differently. You will also read things that take you into the lesser-understood areas of the C language, which only make sense when you view C as a machine-independent assembly language, which is a good way to find out more about how the machine works and influences the way things are implemented.

Название: Machine Learning and IoT Applications for Health Informatics
Автор: Pijush Samui, Sanjiban Sekhar Roy, Wengang Zhang, Y H Taguchi
Издательство: CRC Press
Год: 2025
Страниц: 251
Язык: английский
Формат: pdf (true), epub
Размер: 33.6 MB

This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more precise, personalized, and accessible for all. The book covers recent advancements that will shape the future of healthcare and how artificial intelligence is revolutionizing disease detection, from analyzing chest X-rays for pneumonia to solving the secrets of our genes. It investigates the transformative potential of smart devices, real-time analysis of heart data, and personalized treatment plan creation. It shows how ML and IoT work and presents real-world examples of how they are leading to earlier and more accurate diagnoses and personalized treatments. Therefore, this edited book will be an invaluable resource for researchers, healthcare professionals, data scientists, or simply someone passionate about the future of healthcare. Readers will discover the exciting possibilities that lie ahead at the crossroads of ML, IoT, and health informatics. This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more precise, personalized, and accessible for all.

Название: Python for Experimental Psychologists: A Fun Way of Learning How to Code Your Experiments and Analyses, 2nd Edition
Автор: Edwin S. Dalmaijer
Издательство: Routledge
Год: 2025
Страниц: 201
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Python for Experimental Psychologists equips researchers who have no prior programming experience with the essential knowledge to independently script experiments and analyses in the programming language Python. This book offers an excellent introduction, whether you are an undergraduate, a PhD candidate, or an established researcher. This updated edition is on Python 3 (the most current version). It starts by teaching the fundamentals of programming in Python and then offers several chapters on scripting experiments (displaying stimuli, obtaining and logging user input, precision timing, etc.) using the popular PsychoPy package. The remainder of the book is dedicated to data analysis and includes chapters on reading/writing to text files, time series, eye tracking, data visualisation, and statistics. Access to a companion website enriches the learning experience with colour figures, example stimuli, datasets, scripts, and a portable Windows installation of Python. This book assumes no prior knowledge, and its informal and accessible tone helps readers with backgrounds in experimental psychology and cognitive neuroscience to quickly understand Python. It serves as a useful resource not only for researchers in these fields but also for lecturers instructing on methodology and data analysis. Python for Experimental Psychologists demystifies programming complexities and empowers researchers to proficiently conduct experiments and analyse their results.