Название: Основы Delphi. Профессиональный подход
Автор: Сухарев М.В.
Издательство: НиТ
Год: 2004
Cтраниц: 604
Формат: pdf
Размер: 66 мб
Язык: русский

Эта книга является превосходным учебным пособием, дающим наиболее полное и системное понимание основополагающих механизмов Delphi. Цель книги — помочь программистам, начинающим работать с Delphi, сделать первый шаг в ее изучении так, чтобы не возвращаться к пройденному материалу в дальнейшем для углубления знаний.

Название: Angular for Business: Awaken the Advocate Within and Become the Angular Expert at Work
Автор: Michael D. Callaghan
Издательство: Apress
Год: 2024
Страниц: 282
Язык: английский
Формат: pdf
Размер: 10.2 MB

Written from author Michael D. Callaghan's personal experience teaching Angular to web development teams, this book will serve as a practical guide to help you adopt Angular for your organization. This book consists of a series of essays related to Angular development, adoption, and the wider eco-system designed to appeal to experienced web developers and managers who have some experience with Angular and are looking to adopt and integrate it into their business for their web development projects. You'll begin with an introduction to Angular15, along with associated frameworks and tools such as Typescript, Firebase RxJS and Docker. You'll then explore Angular components, progressive Web Apps (PWA’s) APIs, Test-driven development, testing, security and the basics of agile project management. This includes how to train your team and effectively communicate with management and key stake-holders within your organization while transitioning onto an Angular workflow. For experienced web developers and managers with some knowledge of Angular and the related jаvascript eco-system who are looking at adopting Angular for enterprise projects and those who need to get co-workers up to speed with an Angular-based workflow.

Название: Getting Started with ChatGPT and AI Chatbots: An introduction to generative AI tools
Автор: Mark Pesce
Издательство: BCS, The Chartered Institute for IT
Год: 2023
Страниц: 104
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Learn how to use ChatGPT, Bing Chat / Copilot, and Bard to get the most out of these powerful tools. ChatGPT has become a tool hundreds of millions use every day - yet few have mastered the art of sweet-talking these new AI chatbots into providing detailed and accurate responses to user prompts. It's vital for every professional tech user to have an understanding of how AI chatbots work, and how best to put them to work. While the fear is that AI will take people's jobs, it is more likely to be someone using AI that will! Getting Started with ChatGPT and AI Chatbots explores the 'big three' AI chatbots - OpenAI ChatGPT, Microsoft / Windows Copilot and Google Bard - demystifying their operation, and providing a wealth of tools for thinking about how to talk to these smart tools. Whether you're a business user, a tech student, or a curious professional, this book is for you to understand and demystify Large Language Models (LLMs) and generative AI tools, harnessing them to enhance your role.

Название: More than a Chatbot: Language Models Demystified
Автор: Mascha Kurpicz-Briki
Издательство: Springer
Год: 2023
Страниц: 133
Язык: английский
Формат: pdf (true), epub
Размер: 11.8 MB

Did you wonder how tools like ChatGPT or Bard work, but do not have a technical background? Then this is the right book for you! To discuss and better understand what such technologies are capable of and how this will impact our lives and our society, a basic background knowledge about text processing and generation technologies is required. In particular, the book discusses the following questions: How did the field of automated text processing and generation evolve over the last years, and what happened to allow the incredible recent advances? Are chatbots such as ChatGPT or Bard truly understanding humans? Recent technological advances have resulted in a new generation of powerful text processing and generation tools, that produce text very similar to what a human could do. Such tools have the potential to change the way we work, learn and teach – and this book enables you to understand and be part of this exciting development. The latest achievements in the field of Artificial Intelligence (AI) pose many challenges to society. For the broad public, including researchers and professionals from domains outside of AI, the border between what is the technically possible and science fiction is getting blurrier. The term artificial intelligence is a rather generic term. It has many inequivalent interpretations, and the conflation of these leads to exaggerated expectations and assumptions about how AI technology works. The main approach behind the technologies referred to as Artificial Intelligence nowadays is Machine Learning (ML).

Название: Machine Learning Methods
Автор: Hang Li
Издательство: Springer
Год: 2024
Страниц: 530
Язык: английский
Формат: pdf (true), epub
Размер: 30.6 MB

This book provides a comprehensive and systematic introduction to the principal Machine Learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support vector machines, maximum entropy models, logistic regression models and multiclass classification, as well as methods applied in supervised learning, like the hidden Markov model and conditional random fields. In the context of unsupervised learning, it examines clustering and other problems as well as methods such as singular value decomposition, principal component analysis and latent semantic analysis. As a fundamental book on Machine Learning, it addresses the needs of researchers and students who apply Machine Learning as an important tool in their research, especially those in fields such as information retrieval, natural language processing (NLP) and text data mining. In order to understand the concepts and methods discussed, readers are expected to have an elementary knowledge of advanced mathematics, linear algebra and probability statistics. The detailed explanations of basic principles, underlying concepts and algorithms enable readers to grasp basic techniques, while the rigorous mathematical derivations and specific examples included offer valuable insights into Machine Learning.

Название: Linear Algebra with Python: Theory and Applications
Автор: Makoto Tsukada, Yuji Kobayashi, Hiroshi Kaneko
Издательство: Springer
Год: 2023
Страниц: 315
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This textbook is for those who want to learn linear algebra from the basics. After a brief mathematical introduction, it provides the standard curriculum of linear algebra based on an abstract linear space. It covers, among other aspects: linear mappings and their matrix representations, basis, and dimension; matrix invariants, inner products, and norms; eigenvalues and eigenvectors; and Jordan normal forms. Detailed and self-contained proofs as well as descriptions are given for all theorems, formulas, and algorithms. Python is used throughout the book to explain linear algebra. Learning with Python interactively, readers will naturally become accustomed to Python coding. By using Python’s libraries NumPy, Matplotlib, VPython, and SymPy, readers can easily perform large-scale matrix calculations, visualization of calculation results, and symbolic computations. All the codes in this book can be executed on both Windows and macOS and also on Raspberry Pi.

Название: Introduction to Python
Автор: Dedashed
Издательство: Dedashed
Год: 2023
Страниц: 159
Язык: английский
Формат: pdf
Размер: 14.8 MB

This introduction to Python covers a broad range of topics, allowing beginners to gain a comprehensive understanding of Python and providing a foundation for more advanced studies. Python's popularity has surged over the years, making it one of the most widely used programming languages. Its versatility is a key factor in its widespread adoption. Python finds applications in various domains, including: -Web Development: Frameworks like Django and Flask empower developers to build scalable and efficient web applications; - Data Science and Machine Learning: Python's rich ecosystem of libraries, including NumPy, pandas, and TensorFlow, makes it a preferred choice for data scientists and machine learning engineers; - Automation and Scripting: Python's simplicity and ease of use make it ideal for writing scripts and automating repetitive tasks; - Artificial Intelligence: Python is extensively used in AI applications; with libraries such as scikit-learn and PyTorch supporting machine learning projects; - Scientific Computing: The language's numerical capabilities, coupled with libraries like SciPy, make it suitable for scientific computing; - Education: Python's readability and simplicity make it an excellent choice for beginners learning programming.

Название: Machine Learning Mastery: A Comprehensive Guide to Unlocking the Power of Artificial Intelligence from Theory to Application, Master the Techniques and Algorithms that Drive AI Innovation
Автор: Denzel Norton
Издательство: Independently published
Год: 2023
Страниц: 196
Язык: английский
Формат: pdf
Размер: 26.9 MB

Embark on a transformative journey into the realm of Artificial Intelligence with Machine Learning Mastery. This meticulously crafted hardcover, audiobook, paperback, and e-book compilation is your key to unlocking the profound capabilities of Machine Learning. From foundational theories to real world applications, this guide is designed to empower you with the knowledge and skills needed to navigate the intricate landscape of Artificial Intelligence (AI). Navigate the intricate web of Machine Learning techniques and algorithms that propel AI innovation forward. With step by step instructions and practical examples, you will gain hands on experience, empowering you to implement these powerful tools in your own projects. Transition seamlessly from theory to application as you explore real world scenarios where Machine Learning thrives. Gain insights into industry applications, case studies, and success stories that highlight the transformative impact of Artificial Intelligence across diverse sectors. Embark on this enlightening journey and become proficient in Machine Learning A skill set that opens doors to limitless possibilities in our technologically advanced world.

Название: How to Master Python in 7 Days the Lazy Way: The Ultimate Guide for Beginners and Beyond
Автор: Van Kevin
Издательство: Independently published
Год: 2023
Страниц: 339
Язык: английский
Формат: pdf
Размер: 26.4 MB

Dear Python Enthusiasts, What if I told you that there was a secret to mastering Python that has been hidden from you all along? What if I told you that you could become a Python pro in just a matter of weeks with the right knowledge and guidance? Introducing 'How to Master Python in 7 Days the Lazy Way: The Ultimate Guide for Beginners and Beyond ' to mastering Python and taking your coding skills to the next level. Whether you are a beginner or an experienced programmer, this book will unlock the secrets to becoming a Python master, providing you with insider tips tips, tricks and techniques that are guaranteed to take your coding skills to the next level. But this is not just any old Python book. This is the result of years of research and experimentation by some of the top Python experts in the world. The knowledge contained within these pages has been tested and refined to ensure that you get the best possible results in the shortest possible time.

Название: Artificial Intelligence and Human Evolution: Contextualizing AI in Human History
Автор: Ameet Joshi
Издательство: Apress
Год: 2024
Страниц: 256
Язык: английский
Формат: pdf (true), epub
Размер: 10.7 MB

This book explores, from a high level, the parallels between the evolution of humans and the evolution of machines. The book reviews practical questions about the future of AI but also engages in philosophical discussions about what machine intelligence could mean for the human experience. The book focuses on what is intelligence and what separates intelligent species from non-so-intelligent ones. It concludes this section with the description of true nature of human intelligence can be. We discuss how we looked at machines few hundred years back and how their definition and the expectations from them has changed over time. We will consider when and how machines became intelligent and then explore in depth he latest developments in Artificial Intelligence with explanation of Deep Learning technology and humanlike chat interface provided with products like ChatGPT. We will define both human intelligence and Artificial Intelligence and the distinction between the two. The Machine Learning techniques, also called algorithms, are sequences of mathematical operations that first operate on the labeled training data to learn patterns of relations between input and output/label and then operate on the test data to predict the outputs.