Название: Machine Learning: A Guide to PyTorch, TensorFlow, and Scikit-Learn: Mastering Machine Learning With Python Автор: Hayden Van Der Post Издательство: Reactive Publishing Год: 2023 Страниц: 663 Язык: английский Формат: pdf Размер: 46.2 MB
Unlock the full potential of machine learning with "Machine Learning," your essential guide to conquering the cutting-edge tools that are reshaping the landscape of Data Science and Artificial Intelligence (AI). Whether you're a student, a Data Science professional, or simply a tech enthusiast eager to delve into the world of Machine Learning, this book will serve as your roadmap to success. Leverage the power of the three dominant Machine Learning libraries—PyTorch, TensorFlow, and Scikit-Learn. This guide covers everything you need to excel in today’s AI-driven market. Tailored specifically for Pythonistas, this resource capitalizes on the simplicity and elegance of Python to make machine learning more approachable than ever before. Go beyond theory with practical examples that demonstrate how Machine Learning can solve actual problems and enhance the capabilities of your projects or business.
Название: Deep R Programming Автор: Marek Gagolewski Издательство: Independently published Год: 2023-11-30 (v126.96.36.19902) Страниц: 457 Язык: английский Формат: pdf (true) Размер: 10.1 MB
Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for Data Science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that they can tackle any problem related to data wrangling and analytics, numerical computing, statistics, and Machine Learning. R is not just a statistical package. It is a general-purpose, high-level programming language that happens to be very powerful for numerical, data-intense computing activities of any kind. It offers extensive support for statistical, Machine Learning, data analysis, data wrangling, and data visualisation applications, but there is much more. Our aim is to learn the fundamentals of base R, which constitutes the ligua franca for all R users. We want to be able to indite code that everybody should understand; code that will work without modifications ten years from now (no slang!). Some readers will benefit from its being their first introduction to R (yet, without all the pampering). For others, this will be a fine course from intermediate to advanced (do not skip the first chapters, though).
Название: Minimalist Data Wrangling with Python Автор: Marek Gagolewski Издательство: Independently published Год: 2023-11-22 (v188.8.131.5211) Страниц: 443 Язык: английский Формат: pdf (true) Размер: 10.2 MB
Minimalist Data Wrangling with Python is envisaged as a student's first introduction to data science, providing a high-level overview as well as discussing key concepts in detail. We explore methods for cleaning data gathered from different sources, transforming, selecting, and extracting features, performing exploratory data analysis and dimensionality reduction, identifying naturally occurring data clusters, modelling patterns in data, comparing data between groups, and reporting the results. Data Science aims at making sense of and generating predictions from data that have been collected in copious quantities from various sources, such as physical sensors, surveys, online forms, access logs, and (pseudo)random number generators, to name a few. They can take diverse forms, e.g., be given as vectors, matrices, or other tensors, graphs/networks, audio/video streams, or text. Data usually do not come in a tidy and tamed form. Data wrangling is the very broad process of appropriately curating raw information chunks and then exploring the underlying data structure so that they become analysable. This course uses the Python language which we shall introduce from scratch. Consequently, we do not require any prior programming experience. We will focus on developing transferable skills: most of what we learn here can be applied (using different syntax but the same kind of reasoning) in other environments. Thus, this is a course on data wrangling (with Python), not a course on Python (with examples in data wrangling).
Название: The Transformer Architecture: A Practical Guide to Natural Language Processing Автор: Tommy Hogan Издательство: Independently published Серия: LLMs for Beginners to Experts Год: 2023 Страниц: 179 Язык: английский Формат: pdf Размер: 14.6 MB
Experience the Future of Language Processing with "The Transformer Architecture: A Practical Guide to Natural Language Processing". This book is a comprehensive guide that covers everything you need to know to get started with Transformers, from the basics to advanced topics. The book is packed with practical examples that will help you learn by doing. Natural Language Processing (NLP) is the remarkable field where machines learn to comprehend, decipher, and even generate human language. Think of it as the bridge between how we communicate naturally and how computers analyze data. This bridge opens up a world of possibilities, from chatbots that talk to us like humans to translating languages in real-time and gauging sentiment in text. NLP has come a long way, and this book will be your guide to understanding one of its gamechanging advancements: the Transformer architecture.
Название: Ultimate Agile Administration with Jira: Solutions for Agile Project Administration Using Dashboards, Automation Rules, and Plugin Integration with Jira Автор: Yogita Chhaya Издательство: Orange Education Pvt Ltd, AVA Год: December 2023 Страниц: 404 Язык: английский Формат: epub (true) Размер: 10.3 MB
Empowering Administrators and Teams With Ultimate Solutions for Agile Project Success with Jira Software. This book covers the fundamentals of Agile, including Agile values and principles. It also introduces the Scrum and Kanban frameworks, important terms in Jira, and how to create a Jira site. The book covers project templates in Jira and explains the importance of creating the right project. Additionally, it covers all concepts related to Jira Administration and customization with examples. This book covers both types of projects, whether they are managed by administrators or teams. It explores all the concepts related to Agile project management, reporting, and tracking Agile metrics. The content includes backlog management, sprint operations, insights provided by Jira, and harnessing the power of Jira filters. The book highlights the importance of automation in Jira and the concept of using smart values in automation rules. It also provides use cases and step-by-step guides for administrator tasks. Additionally, it covers the Advanced Roadmap, useful for capacity planning and tracking cross-project work in large organizations. Furthermore, it explains the significance of adding plugin applications to expand the functionality of Jira software and how to purchase such software from the Atlassian Marketplace.
Название: Exploring University Mathematics with Python Автор: Siri Chongchitnan Издательство: Springer Год: 2023 Страниц: 521 Язык: английский Формат: pdf Размер: 23.5 MB
This book provides a unique tour of university mathematics with the help of Python. A typical mathematics university curriculum would include some element of programming, usually in a standalone module. However, in my experience teaching at several UK universities, students often regard programming as just another module that is disparate from a typical ‘pen-and-paper’ module. In my opinion, this is an extremely unhealthy viewpoint, because programming can often help us gain a more solid understanding of mathematics in comparison to a purely pen-and-paper approach. It is true that much of university mathematics is driven by theorems and proofs, and it is also true that Python does not prove theorems. However, Python gives us the power and freedom to glimpse into the unknown, leading us towards insightful conjectures that would have been difficult to formulate otherwise. Hence, I was motivated to write a mathematics textbook that is richly interwoven with Python, rather than another Python textbook with some mathematical examples. The spirit of this book is one of mathematical exploration and investigation. I want to show students that Python can hugely enrich our understanding of mathematics through.
Название: Principles of Soft Computing Using Python Programming: Learn How to Deploy Soft Computing Models in Real World Applications Автор: Gypsy Nandi Издательство: Wiley-IEEE Press Год: 2024 Страниц: 348 Язык: английский Формат: pdf (true), epub Размер: 17.6 MB
An accessible guide to the revolutionary techniques of Soft Computing. Soft computing is a computing approach designed to replicate the human mind's unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As Machine Learning and Artificial Intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater. Principles of Soft Computing Using Python Programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems. Principles of Soft Computing Using Python Programmingis ideal for researchers and engineers in a variety of fields looking for new solutions to computing problems, as well as for advanced students in programming or the Computer Siences.
Название: Low-Code Development with Appsmith: Building Internal Tools and Business Applications Автор: Rahul Sharma, Rajat Arora Издательство: Apress Год: 2023 Страниц: 277 Язык: английский Формат: pdf Размер: 10.1 MB
This book will show you how to harness the power of Appsmith, an open-source low-code platform with a large set of integration tools and an active community. The book begins with an introduction to Appsmith and its features. As you explore the platform, you will learn about widgets, UI Canvas, and data stores, among other things. Authors Rahul Sharma and Rajat Arora then show you how to build customizations and navigation workflows, as well as how to handle error handling, debugging, and troubleshooting with Appsmith. You will also learn efficient monitoring and authentication for deploying production-ready systems. Low-Code Development with AppSmith provides examples, realistic scenarios, and explanations of the tools you'll need to build successful low-code apps, helping you gain practical skills. Upon completing this book, you will be able to use Appsmith to build low-code solutions that suit your business requirements. For anyone interested in designing technical solutions with minimal programming. This book assumes a basic understanding of object-oriented programming and jаvascript.
Название: A Beginner's Guide to SSD Firmware: Designing, Optimizing, and Maintaining SSD Firmware Автор: Gopi Kuppan Thirumalai Издательство: Apress Год: 2023 Страниц: 210 Язык: английский Формат: pdf Размер: 10.2 MB
Explore the concepts and techniques that are essential for designing, optimizing, and maintaining SSD (solid state drive) firmware. This book discusses the role of firmware in the functioning of SSDs and the importance of keeping firmware up to date to ensure optimal performance and security. The book starts with an introduction to SSD firmware and its role in SSDs. You will then learn basic NAND operations and common firmware features, followed by various design considerations and best practices for optimizing and maintaining SSD firmware. Moving ahead, you will learn some of the advanced features that are included in modern SSD firmware, such as wear leveling algorithms, garbage collection algorithms, error prevention and correction methods, and algorithms to reduce write amplification. User data flow and exception handling are discussed next, along with performance and debugging. To wrap things up, you will gain insight into possible future developments and innovations in SSD firmware. For SSDs to work properly and help us with tasks, they rely on both hardware and firmware. The hardware consists of the physical components of the device, such as the processor, memory, and storage. The firmware, meanwhile, is the software that runs on the device and controls the hardware. It is responsible for ensuring that the device performs its designated tasks and functions properly.
Название: Python Graphics: A Reference for Creating 2D and 3D Images, 2nd Edition Автор: Bernard Korites Издательство: Apress Год: 2023 Страниц: 488 Язык: английский Формат: pdf Размер: 14.0 MB
This book shows how to use Python’s built-in graphics primitives - points, lines, and arrows – to create complex graphics for the visualization of two- and three-dimensional objects, data sets, and technical illustrations. This updated edition provides more detailed explanations where required, especially regarding Python code, and explores scientific applications to topics of contemporary importance. You’ll learn how to create any 2D or 3D object or illustration, as well as how to display images, use color, translate, rotate, shade, add shadows that are cast on other objects, remove hidden lines, plot 2D and 3D data, fit lines and curves to data sets, display points of intersection between 2D and 3D objects, and create digital art. Demonstrations are included which illustrate graphics programming techniques by example, the best way to learn a language. Also brand new to this edition are demonstrations on how to visualize electron probability clouds around a nucleus, climate change, ecological diversity, population dynamics, and resource management. Python source code, including detailed explanations, is included for all applications, making the book more accessible to novice Python programmers. After completing this book, you will be able to create compelling graphic images without being limited to functions available in existing Python libraries.