Название: Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era
Автор: A. Srinivasan
Издательство: IGI Global
Год: 2023
Страниц: 400
Язык: английский
Формат: epub (true)
Размер: 39.2 MB

This book explores traditional and new areas of the computer vision, Machine Learning and Deep Learning combined to solve a range of problems with the objective to integrate the knowledge of the growing international community of researchers working on the application of Machine Learning and Deep Learning Methods in Vision and Robotics. Image processing is one of the rapidly developing technologies that is spawning important research fields in Engineering discipline. Image Processing refers to the application of algorithms to images meant to improve the quality of the image or to alter it for a different visual effect. It plays a very important role to prepare images for Computer Vision models, such as applying segmentation or labelling known objects. Computer vision and image processing are inseparably linked. A computer vision system receives an image as input and produces task-specific data, such as item labels and coordinates. Deep Learning plays a prominent role in a variety of computer vision problems, such as object detection motion tracking action recognition human pose estimation and semantic segmentation etc.

Название: Deep Learning Research Applications for Natural Language Processing
Автор: L. Ashok Kumar, Dhanaraj Karthika Renuka, S. Geetha
Издательство: IGI Global
Год: 2023
Страниц: 290
Язык: английский
Формат: epub (true)
Размер: 24.1 MB

Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in Artificial Intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objects thanks to advances in deep learning and neural networks. Deep Learning Research Applications for Natural Language Processing explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. It provides insights into using the tools and libraries in Python for real-world applications. Covering topics such as Deep Learning algorithms, neural networks, and advanced prediction, this premier reference source is an excellent resource for computational linguists, software engineers, IT managers, computer scientists, students and faculty of higher education, libraries, researchers, and academicians.

Название: MATLAB for Medical Physics: Real-life Clinical Scenarios and Projects
Автор: Jidi Sun
Издательство: Springer
Год: 2023
Страниц: 288
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book gives the practical introduction for medical physics students and clinical physicists to learn MATLAB programming. The first part of the book explains the MATLAB software layout and ways to get help followed by the demonstration of the fundamentals of MATLAB programming through over 100 examples. The second part of the book features eighteen real-life clinical scenarios and projects and twenty-three scenario expansions. The scenarios cover many of the common clinical medical physics areas including DICOM file manipulation, film dosimetry, brachytherapy application, linear accelerator and CT quality assurance and their automations, medical image processing and analysis. All scenarios include the step-by-step solution as a guidance for readers to learn MATLAB by practicing.

Название: Learning Git: A Hands-On Approach to Understanding the Basics of Git (Fifth Early Release)
Автор: Anna Skoulikari
Издательство: O’Reilly Media, Inc.
Год: 2023-01-25
Страниц: 168
Язык: английский
Формат: epub (true), mobi
Размер: 10.1 MB

Learning Git uses storytelling principles not only to place lessons in a familiar context, but also to make the information more memorable. By introducing information in an incremental manner, this book makes all the content accessible so you don't get bogged down with unknown terms or concepts. This guide is ideal whether you're working on a shared document or managing your own version control project. This book is for anyone that wants to learn the basics of how to use Git. It is especially designed for individuals that are newly gaining technical skills or individuals that work in non-technical roles but still need to use Git to collaborate with their technical counterparts. Some examples of individuals that may benefit from this book include but are not limited to: coding bootcamp students, computer science students, technical writers, product managers, designers, junior developers, data scientists, and self-taught programmers.

Название: Machine Learning Algorithms in Depth (MEAP v3)
Автор: Vadim Smolyakov
Издательство: Manning Publications
Год: 2023
Страниц: 186
Язык: английский
Формат: pdf, epub
Размер: 11.97 MB

Machine Learning Algorithms in Depth dives deep into the how and the why of Machine Learning algorithms. For each category of algorithm, you’ll go from math-first principles to a hands-on implementation in Python. You’ll explore dozens of examples from across all the fields of Machine Learning, including finance, computer vision, NLP, and more. Each example is accompanied by worked-out derivations and details, as well as insightful code samples and graphics. By the time you’re done reading, you’ll know how major algorithms work under the hood—and be a better Machine Learning practitioner for it. This book will take you on a journey from mathematical derivation to software implementation of some of the most intriguing algorithms in ML. Some of the prerequisites for reading this book include basic level of programming in Python and intermediate level of understanding of linear algebra, applied probability and multivariate calculus. My goal in writing this book is to distill the science of ML and present it in a way that will convey intuition and inspire the reader to self-learn, innovate and advance the field.

Название: Advanced Machine Learning Algorithms for Complex Financial Applications
Автор: Mohammad Irfan, Mohamed Elhoseny, Salina Kassim
Издательство: IGI Global
Год: 2023
Страниц: 324
Язык: английский
Формат: epub (true)
Размер: 12.9 MB

The advancements in Artificial Intelligence and Machine Learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial Intelligence and Machine Learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of Artificial Intelligence and Machine Learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in Big Data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of Artificial Intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.

Название: Bayesian Statistical Modeling With Stan, R, and Python
Автор: Kentaro Matsuura
Издательство: Springer
Год: 2023
Страниц: 395
Язык: английский
Формат: pdf (true), epub
Размер: 41.5 MB

This book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become the most popular probabilistic programming language. The book is divided into four parts. The first part reviews the theoretical background of modeling and Bayesian inference and presents a modeling workflow that makes modeling more engineering than art. The second part discusses the use of Stan, CmdStanR, and CmdStanPy from the very beginning to basic regression analyses. The third part then introduces a number of probability distributions, nonlinear models, and hierarchical (multilevel) models, which are essential to mastering statistical modeling. It also describes a wide range of frequently used modeling techniques, such as censoring, outliers, missing data, speed-up, and parameter constraints, and discusses how to lead convergence of MCMC. Lastly, the fourth part examines advanced topics for real-world dаta: longitudinal data analysis, state space models, spatial data analysis, Gaussian processes, Bayesian optimization, dimensionality reduction, model selection, and information criteria, demonstrating that Stan can solve any one of these problems in as little as 30 lines.

Название: Precision Health and Artificial Intelligence: With Privacy, Ethics, Bias, Health Equity, Best Practices, and Case Studies
Автор: Arjun Panesar
Издательство: Apress
Год: 2023
Страниц: 183
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

This book provides a comprehensive explanation of precision (i.e., personalized) healthcare and explores how it can be advanced through Artificial Intelligence (AI) and other data-driven technologies. From improving the diagnosis, treatment, and monitoring of many medical conditions to the effective implementation of precise patient care, this book will help you understand datasets produced from digital health technologies and IoT and teach you how to employ analytical methods such as convolutional neural networks and Deep Learning to analyze that data. Open-source toolkits support Machine Learning by providing accessible and ready-to-use code for common algorithms. Most are available for Python, the programming language favored for developing Machine Learning algorithms. Scikit-learn is a Python module containing image processing and Machine Learning techniques built on SciPy and enables algorithms for clustering, classification, and regression, such as naïve Bayes, decision trees, random forests, k-means, and support vector machines. NLTK, or Natural Language Toolkit, is a collection of libraries used in natural language processing (NLP).

Название: Основы web-программирования на PHP
Автор: Маркин А. В. , Шкарин С. С.
Издательство: Диалог-МИФИ
Год: 2012
Cтраниц: 252 с. : табл., схем., ил.
Формат: pdf (ocr)
Размер: 44 мб
Язык: русский

Описаны основные термины и понятия, характеризующие современный web, а также технологии, применяемые для web-разработки, такие, как XHTML, CSS и PHP. Подробно рассмотрены синтаксис языка PHP и его работа с протоколом передачи данных HTTP и системой управления базами данных Firebird. Также дано описание основного синтаксиса регулярных выражений и их применению в PHP-скриптах. Теоретический материал ориентирован на последнюю, пятую версию языка РHP и в полной мере проиллюстрирован примерами.

Название: Java Persistence with Spring Data and Hibernate (Final Release)
Автор: Catalin Tudose
Издательство: Manning Publications
Год: 2023
Страниц: 618
Язык: английский
Формат: pdf (true)
Размер: 53.9 MB

Java Persistence with Spring Data and Hibernate explores persistence with the most popular available tools. You’ll benefit from detailed coverage of Spring Data JPA, Spring Data JDBC, Spring Data REST, JPA, and Hibernate, comparing and contrasting the alternatives so you can pick what’s best for your code. We’ll begin with a hands-on introduction to object/relational mapping (ORM) and then dive into mapping strategies for linking up objects and your database. You’ll learn about the different approaches to transactions in Hibernate and Spring Data, and even how to deliver Java persistence with non-relational databases. Finally, we’ll explore testing strategies for persistent applications to keep your code clean and bug free. This book is for application developers who are already proficient in writing Java Core code and are interested in learning how to develop applications to interact easily and effectively with databases. You should be familiar with object-oriented programming and have at least a working knowledge of Java. You will also need a working knowledge of Maven and be able to build a Maven project and open a Java program in IntelliJ IDEA, edit it, and launch it in execution. Some of the chapters require basic knowledge about technologies like Spring or REST.