Название: Оптимизация в среде MATLAB: учебное пособие
Автор: Гольдштейн А.Л.
Издательство: Пермь: Изд-во Пермского национального исследовательского политехнического университета
Год: 2015
Страниц: 192
Формат: djvu
Размер: 22,5 Мб
Язык: Русский

Мощную и удобную систему помощи, содержащую многие тысячи страниц документации имеет система компьютерной математики MATLAB. Достаточно набрать help и имя объекта, например оператора или функции, для быстрого доступа к интересующему объекту.

Название: AI Mastery Trilogy: A Comprehensive Guide to AI Basics for Managers, Essential Mathematics for AI, and Coding Practices for Modern Programmers in the AI Era (3-in-1 Collection)(AI Fundamentals)
Автор: Andrew Hinton
Издательство: Book Bound Studios
Год: 2024
Страниц: 436
Язык: английский
Формат: pdf, epub (true)
Размер: 10.8 MB

Dive into the "AI Mastery Trilogy," the ultimate collection for professionals seeking to conquer the world of artificial intelligence (AI). This 3-in-1 compendium is meticulously crafted to guide you from the foundational principles of AI to the intricate mathematical frameworks and practical coding applications that will catapult your expertise to new heights. Book 1: "AI Basics for Managers" by Andrew Hinton is your gateway to understanding and implementing AI in business. It equips managers with the knowledge to navigate the AI landscape, identify opportunities, and lead their organizations toward a future of innovation and growth. Book 2: "Essential Math for AI" demystifies the mathematical backbone of AI, offering a deep dive into the core concepts that fuel AI systems. From linear algebra to game theory, this book is a treasure trove for anyone eager to grasp the numerical and logical foundations that underpin AI's transformative power. Book 3: "AI and ML for Coders" is the hands-on manual for coders ready to harness AI and Machine Learning in their projects. It provides a comprehensive overview of AI and ML technologies, practical coding advice, and ethical considerations, ensuring you're well-equipped to create cutting-edge, responsible AI applications. The "AI Mastery Trilogy" is more than just a set of books; it's a comprehensive learning journey designed to empower business leaders, mathematicians, and coders alike.

Название: Forex with Python: A Comprehensive Guide
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2023
Страниц: 300
Язык: английский
Формат: pdf
Размер: 25.4 MB

Embark on a journey through the electric world of forex trading with "Forex Trading with Python" at your side. This cutting-edge guide bridges the gap between the dynamic realm of currency exchange and the powerful tools of Python programming to offer traders and finance professionals an unparalleled edge in the market. Unlock the secrets of the forex market, a place where fortunes are made and lost with the fluctuation of exchange rates, and where split-second decisions underpin successful trading strategies. This book is your key to understanding how to harness the abilities of Python and Jupyter Notebooks to delve into this high-stakes world, analyzing trends, and making informed choices that can lead to substantial gains. Whether you are a seasoned financial analyst seeking to upskill with Python or a burgeoning trader set on mastering the most modern techniques in forex trading, "Forex Trading with Python" is your definitive guide to understanding, developing, and deploying analytical tools that can tackle the complexity of currency markets. Let this comprehensive manual show you how to combine the analytical power of Python with a deep understanding of the forex landscape to develop strategies that can evolve with the market. Take your first step towards mastering the digital pulse of global forex trading, and watch as the code you write transforms into the currency you earn.

Название: Python AI Programming: Navigating fundamentals of ML, Deep Learning, NLP, and reinforcement learning in practice
Автор: Patrick J
Издательство: GitforGits
Год: 2024
Страниц: 295
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

This book aspires young graduates and programmers to become AI engineers and enter the world of Artificial Intelligence (AI) by combining powerful Python programming with Artificial Intelligence. Beginning with the fundamentals of Python programming, the book gradually progresses to Machine Learning, where readers learn to implement Python in developing predictive models. The book provides a clear and accessible explanation of Machine Learning, incorporating practical examples and exercises that strengthen understanding. We go deep into Deep Learning, another vital component of AI. Readers gain a thorough understanding of how Python's frameworks and libraries can be used to create sophisticated neural networks and algorithms, which are required for tasks such as image and speech recognition. Natural Language Processing (NLP) is also covered in the book, with fundamental concepts and techniques for interpreting and generating human-like language covered. Our adventure starts with a detailed overview of Python's principles, revealing how this language is the ideal toolkit for aspiring AI practitioners. As we progress, the domains of Machine Learning and Deep Learning unveil themselves, illustrating how Python's libraries and frameworks are crucial in pioneering advances in these fields. Each chapter advances your AI learning curve, from the fundamentals of data management to the complexity of neural networks.

Название: Clean Code Principles And Patterns Python Edition (Completed)
Автор: Petri Silen
Издательство: Leanpub
Год: 2024-01-09
Страниц: 676
Язык: английский
Формат: pdf (true), epub
Размер: 22.5 MB

One of the most comprehensive no-fluff guides for Python software developers to help them write clean code every day. The book is packed with principles and patterns that help developers, from novices and juniors to seniors and experts, to write cleaner code. Clean Code Principles and Patterns: Python Edition is one of the most comprehensive no-fluff guides for Python software developers to help them write clean code every day. The author, Petri Silen, has almost 30 years of industry experience in designing and implementing software, and now he puts all his knowledge gained during the years into this book. The book is packed with principles and patterns that help developers, from novices and juniors to seniors and experts, to write cleaner code. The principles and patterns presented in the book are accompanied by realistic yet straightforward examples to help the reader understand them better. The reader should have basic knowledge of Python programming language to get the full benefit from this book. This book teaches you how to write clean code. It presents software design and development principles and patterns in a very practical manner. This book is suitable for both junior and senior developers. Some basic knowledge of programming in Python is required. All examples in this book are presented in Python, except some examples related to frontend code, which are in jаvascript/TypeScript. The content of this book is divided into ten chapters. All Python examples in this book require Python 3.11 or later. This is a book for primarily software developers.

Название: Python: самый быстрый курс
Автор: Alex Erofeev
Издательство: Stepik
Год: 2023
Формат: Docx
Страниц: много
Размер: 616 Kb
Язык: Русский

Этот курс очень хорошо структуирован и оптимален, поэтому он самый короткий из существующих курсов. В курсе есть вся база для того чтобы стать разработчиком, после завершения вы сможете сделать свой проект на Python. Цель курса максимально быстро и точно погрузить Вас в прекрасный мир разработки. Выбирайте Python - самый популярный язык на сегодняшний день!

Название: Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions
Автор: Rabi Jay
Издательство: Wiley
Год: 2024
Страниц: 527
Язык: английский
Формат: pdf (true), epub
Размер: 39.3 MB

Embrace emerging AI trends and integrate your operations with cutting-edge solutions. Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and Machine Learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises. You'll also discover best practices on optimizing cloud infrastructure for scalability and automation. You can use out-of-the-box features provided by various cloud ML platforms, data visualization tools such as Tableau and Google Data Studio, and software libraries such as Pandas and Matplotlib in Python. Whether you're a beginner or an experienced AI or MLOps engineer, business or technology leader, or an AI student or enthusiast, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments. With over 300 review questions, 50 hands-on exercises, templates, and hundreds of best practice tips to guide you through every step of the way, this book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.

Название: Web Coding & Development All-in-One For Dummies, 2nd Edition
Автор: Paul McFedries
Издательство: For Dummies
Год: 2024
Страниц: 851
Язык: английский
Формат: pdf (true), epub
Размер: 36.6 MB

Learn the in-demand skills that let you turn lines of code into websites and apps. Web Coding & Development All-in-One For Dummies is a one-stop resource for would-be developers who need guidance on the languages and steps used to build websites and applications. Learn the coding ropes and expand your existing skillset with this easy-to-understand guide. In these complete mini-books, you’ll walk through the basics of web development, structuring a page, building and processing web forms, and beyond. Learn how to build a website or create your very own app with the advice of web coding and development experts. This edition expands jаvascript and CSS coverage while providing new content on server-side coding and the development stack. In this book, I give you a complete education on web coding and development. You learn how to set up the tools you need, how to use HTML and CSS to design and build your site, how to use jаvascript to program your pages, and how to use PHP and MySQL to program your web server. I show you that these technologies aren’t hard to learn, and that even the greenest rookie programmers can learn how to put together web pages that will amaze their family and friends (and themselves). This Dummies All-in-One is great for you if want to develop coding skills but don’t have a programming background. It’s also perfect for professionals looking to brush up on their web development skills and get up to date on the latest trends and standards.

Название: Statistics Slam Dunk: Statistical analysis with R on real NBA data (Final Release)
Автор: Gary Sutton
Издательство: Manning Publications
Год: 2024
Страниц: 672
Язык: английский
Формат: pdf (true)
Размер: 16.8 MB

Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. Statistics Slam Dunk upgrades your R data science skills by taking on practical analysis challenges based on NBA game and player data. Is losing games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Each chapter in this one-of-a-kind guide uses new data science techniques to reveal interesting insights like these. And just like in the real world, you’ll get no clean pre-packaged datasets in Statistics Slam Dunk. You’ll take on the challenge of wrangling messy data to drill on the skills that will make you the star player on any data team. Amazing insights are hiding in raw data, and statistical analysis with R can help reveal them! R was built for data, and it supports modeling and statistical techniques including regression and classification models, time series forecasts, and clustering algorithms. And when you want to see your results, R’s visualizations are stunning, with best-in-class plots and charts. Statistics Slam Dunk: Statistical analysis with R on real NBA data is an interesting and engaging how-to guide for statistical analysis using R. It’s packed with practical statistical techniques, each demonstrated using real-world data taken from NBA games. In each chapter, you’ll discover a new (and sometimes surprising!) insight into basketball, with careful step-by-step instructions on how to generate those revelations.

Название: Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines
Автор: Xavier Vasques
Издательство: Wiley
Год: 2024
Страниц: 510
Язык: английский
Формат: pdf (true)
Размер: 38.9 MB

Enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries. Machine Learning Theory and Applications delves into the realm of machine learning and deep learning, exploring their practical applications by comprehending mathematical concepts and implementing them in real-world scenarios using Python and renowned open-source libraries. This comprehensive guide covers a wide range of topics, including data preparation, feature engineering techniques, commonly utilized machine learning algorithms like support vector machines and neural networks, as well as generative AI and foundation models. To facilitate the creation of machine learning pipelines, a dedicated open-source framework named hephAIstos has been developed exclusively for this book. Moreover, the text explores the fascinating domain of quantum machine learning and offers insights on executing machine learning applications across diverse hardware technologies such as CPUs, GPUs, and QPUs. Finally, the book explains how to deploy trained models through containerized applications using Kubernetes and OpenShift, as well as their integration through machine learning operations (MLOps). Machine Learning Theory and Applications is an essential resource for data scientists, engineers, and IT specialists and architects, as well as students in computer science, mathematics, and bioinformatics. The reader is expected to understand basic Python programming and libraries such as NumPy or Pandas and basic mathematical concepts, especially linear algebra.