Название: Tree-Based Methods for Statistical Learning in R: A Practical Introduction with Applications in R
Автор: Brandon M. Greenwell
Издательство: CRC Press
Год: 2022
Страниц: 405
Язык: английский
Формат: pdf (true)
Размер: 29.1 MB

Tree-based Methods for Statistical Learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary. Building a strong foundation for how individual decision trees work will help readers better understand tree-based ensembles at a deeper level, which lie at the cutting edge of modern statistical and Machine Learning (ML) methodology. The book follows up most ideas and mathematical concepts with code-based examples in the R statistical language; with an emphasis on using as few external packages as possible. For example, users will be exposed to writing their own random forest and gradient tree boosting functions using simple for loops and basic tree fitting software (like rpart and party/partykit), and more. The core chapters also end with a detailed section on relevant software in both R and other opensource alternatives (e.g., Python, Spark, and Julia), and example usage on real data sets. While the book mostly uses R, it is meant to be equally accessible and useful to non-R programmers.

Название: Time Series for Data Science: Analysis and Forecasting
Автор: Wayne A. Woodward, Bivin P. Sadler, Stephen D. Robertson
Издательство: CRC Press
Год: 2022
Страниц: 529
Язык: английский
Формат: pdf (true), epub
Размер: 63.8 MB

Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject. For software choice, we have created an R package tswge, which is available on CRAN to accompany this book. Because of the clearly described R syntax, students should not be required to have previous knowledge of R. The number of examples and the focus on participation by the reader to enter the provided R code will ground the students with the necessary R coding skills. In fact, this textbook could be a resource for an introductory course in R programming with time series applications.

Название: Artificial Intelligence: An Introduction for the Inquisitive Reader
Автор: Robert H. Chen, Chelsea Chen
Издательство: CRC Press
Год: 2022
Страниц: 357
Язык: английский
Формат: pdf (true), epub
Размер: 16.0 MB

Artificial Intelligence: An Introduction for the Inquisitive Reader guides readers through the history and development of AI, from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make this journey as accessible as possible, the authors build their narrative around accounts of some of the more popular and well-known demonstrations of artificial intelligence including Deep Blue, AlphaGo and even Texas Hold’em, followed by their historical background, so that AI can be seen as a natural development of mathematics and computer science. As the book moves forward, more technical descriptions are presented at a pace that should be suitable for all levels of readers, gradually building a broad and reasonably deep understanding and appreciation for the basic mathematics, physics, and computer science that is rapidly developing artificial intelligence as it is today.

Название: Captain Code: Unleash Your Coding Superpower with Python
Автор: Ben Forta & Shmuel Forta
Издательство: Pearson Education/Addison-Wesley Professional
Год: 2022
Страниц: 401
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB, 40.7 MB

Becoming a coder is all fun and games! Everyone should learn to code. Much like drawing and sketching, playing an instrument, cooking, or taking pictures and shooting videos, coding is a creative endeavor, which means it's a way to actually create stuff, and creating stuff is incredibly rewarding and satisfying. Sure, it's fun to spend hours on your phone looking at what other people have created; but that's nothing compared to the joy and satisfaction of creating things that other people consume and use. Yep, coding is fun!

Название: Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence (Eighth Early Release)
Автор: Bonny P. McClain
Издательство: O’Reilly Media, Inc.
Год: 2022-10-03
Страниц: 200
Язык: английский
Формат: epub (true)
Размер: 113.2 MB

There are a variety of options in geographic information systems (GIS) software with pros and cons associated with all of them. Why explore geospatial data analysis with Python programming? Python has been embraced by the geospatial community and can be found integrated with a wide variety of commercial products such as ESRI, backend for other software packages such as QGIS and Geographic Resources Analysis Support System (GRASS), and Google Earth. Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python.

Название: Istio Ambient Explained: Getting Started with Istio Ambient Service Mesh
Автор: Lin Sun, Christian Posta
Издательство: O’Reilly Media, Inc.
Год: 2022-10-03
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

Service meshes such as Istio provide a lot of value to teams running microservices architectures or cloud workloads. But they do have their drawbacks. To help you implement their capabilities, most service meshes use a sidecar proxy, an architecture that comes with operational complexities and costly resource overhead. In this report, authors Lin Sun and Christian Posta from Solo.io dive into Istio ambient mesh, a new sidecarless data plane mode designed for transparent application onboarding, simplified operation, and reduced infrastructure cost. Developers, architects, and platform owners will examine the challenges of existing sidecar architecture, explore the benefits of ambient mesh, and learn how to get started with Istio ambient service mesh.

Название: Firmware Development: A Guide to Specialized Systemic Knowledge
Автор: Subrata Banik, Vincent Zimmer
Издательство: Apress
Год: 2022
Страниц: 423
Язык: английский
Формат: pdf (true), epub
Размер: 13.8 MB, 19.7 MB

Build your own system firmware. This book helps you understand system firmware architecture and minimalistic design, and provides a specialized knowledge of firmware development. The book includes guidance on understanding the system firmware build procedure, integrating pieces of firmware and allowing configuration, updating system firmware, creating a development infrastructure for allowing multi-party collaboration in firmware development, and gaining advanced system firmware debugging knowledge.

Название: Beginning Azure Static Web Apps: Building and Deploying Dynamic Web Applications with Blazor
Автор: Stacy Cashmore
Издательство: Apress
Год: 2022
Страниц: 296
Язык: английский
Формат: pdf (true), epub
Размер: 13.2 MB, 21.0 MB

Create rich and dynamic web applications on the Azure cloud platform using static web development techniques built around Blazor WebAssembly, APIs, and Markup, while leveraging the paradigm commonly known as JAMstack. This book starts off showing you how to create an environment for deploying your first application. You will create an Azure Static Web App using a Blazor WebAssembly application and adding dynamic content using an Azure function before deploying from GitHub. You will learn to debug your Static Web App locally, both inside of Visual Studio and from the command line using a simple Static Web App CLI command. The book takes a deep dive into the CLI to allow you to emulate all of the features available in the Azure environment. You will learn the authentication and authorizing options with your app and create new blog posts with the post creation function. Included in the book is setting a custom domain and discussion of the options. The book also explores the differences between the free and standard hosting tiers for Static Web Apps.

Название: Digital Video Information Extraction and Object Tracking
Автор: Ronaldo Ferreira, Joaquim Jose de Castro Ferreira, Antonio Jose Ribeiro Neve
Издательство: ITexLi
Год: 2022
Страниц: 187
Язык: английский
Формат: pdf (true)
Размер: 29.9 MB

This book is a result of research done by several researchers and professionals who have highly contributed to the field of image processing. The research on computer vision systems has been increasing every day and has led to the design of multiple types of these systems with innumerous applications in our daily life. The recent advances in artificial intelligence, together with the huge amount of digital visual data now available, have boosted vision system performance in several ways. Information extraction and visual object tracking are essential tasks in the field of computer vision with a huge number of real-world applications. The book contains eight chapters divided into three sections. Section 1 consists chapters focusing on the problem of visual tracking. Section 2 includes chapters focusing on information extraction from images. Section 3 presents new advances in image sensors.

Название: Topological Dynamics in Metamodel Discovery with Artificial Intelligence: From Biomedical to Cosmological Technologies
Автор: Ariel Fernandez
Издательство: CRC Press
Серия: Artificial Intelligence and Robotics Series
Год: 2023
Страниц: 228
Язык: английский
Формат: pdf (true)
Размер: 33.7 MB

The leveraging of Artificial Intelligence (AI) for model discovery in dynamical systems is cross-fertilizing and revolutionizing both disciplines, heralding a new era of data-driven science. This book is placed at the forefront of this endeavor, taking model discovery to the next level. Dealing with Artificial Intelligence, this book delineates AI’s role in model discovery for dynamical systems. With the implementation of topological methods to construct metamodels, it engages with levels of complexity and multiscale hierarchies hitherto considered off limits for Data Science. Intended for graduate students, researchers, and practitioners interested in dynamical systems empowered by AI or Machine Learning (ML) and in their biological, engineering, and biomedical applications, this book will represent a significant educational resource for people engaged in AI-related cross-disciplinary projects.