Название: OCP Oracle Certified Professional Java SE 11 Programmer I Exam Fundamentals 1Z0-815: Study guide for passing the OCP Java 11 Developer Certification Part 1 Exam 1Z0-815
Автор: Deshmukh Hanumant
Издательство: Enthuware
Год: 2019 (18th Sep 2019 Build 1.7)
Страниц: 662
Язык: английский
Формат: pdf, djvu
Размер: 10.1 MB

OCP Oracle Certified Professional Java SE 11 Programmer Part 1 Exam Fundamentals is a comprehensive study guide for those taking the Oracle Certified Professional Java SE 11 Programmer I Exam (Exam Code 1Z0-815). With complete coverage of 100% of the exam objectives, this book provides everything you need to know to take the exam confidently. Written by an expert with more than 20 years of industry experience, the book also helps you ace technical interviews by making you aware of things that technical managers focus on.

Название: Algorithms
Автор: Erickson Jeff
Издательство: Independently published
Год: 2019
Страниц: 472
Язык: английский
Формат: pdf (true)
Размер: 23.9 MB

Algorithms are the lifeblood of computer science. They are the machines that proofs build and the music that programs play. Their history is as old as mathematics itself. This textbook is a wide-ranging, idiosyncratic treatise on the design and analysis of algorithms, covering several fundamental techniques, with an emphasis on intuition and the problem-solving process. The book includes important classical examples, hundreds of battle-tested exercises, far too many historical digressions, and exaclty four typos.

Название: A Practical Approach to High-Performance Computing
Автор: Sergei Kurgalin, Sergei Borzunov
Издательство: Springer
Год: 2019
Страниц: 210
Язык: английский
Формат: pdf (true), epub
Размер: 10.08 MB

The book discusses the fundamentals of high-performance computing. The authors combine visualization, comprehensibility, and strictness in their material presentation, and thus influence the reader towards practical application and learning how to solve real computing problems. They address both key approaches to programming modern computing systems: multithreading-based parallelizing in shared memory systems, and applying message-passing technologies in distributed systems. It is only necessary to know the basic constructs of the algorithmic language C, which is used to realize the algorithms and describe the problem solutions presented in the book. The C language was chosen because this language, on the one hand, is widely known and, on the other hand, is one of the main languages for supercomputer computations.

Название: Artificial Intelligence and Natural Language: 8th Conference, AINL 2019, Tartu, Estonia, November 20–22, 2019,
Proceedings
Автор: Dmitry Ustalov, Andrey Filchenkov
Издательство: Springer
Год: 2020
Страниц: 177
Язык: английский
Формат: pdf (true)
Размер: 12.5 MB

This book constitutes the refereed proceedings of the 8th Conference on Artificial Intelligence and Natural Language, AINL 2019, held in Tartu, Estonia, in November 2019. The 10 revised full papers and 2 short papers were carefully reviewed and selected from 34 submissions. The papers are organized according to the following topics: ​data acquisition and annotation; human-computer interaction; statistical natural language processing; neural language models.

Название: Deep Learning Techniques for Biomedical and Health Informatics
Автор: Sujata Dash, Biswa Ranjan Acharya
Издательство: Springer
Год: 2020
Страниц: 395
Язык: английский
Формат: pdf (true)
Размер: 11.2 MB

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model.

Название: Introduction to Computer Graphics with OpenGL ES
Автор: JungHyun Han
Издательство: CRC Press
Год: 2018
Формат: PDF
Страниц: 341
Размер: 273,29 МБ
Язык: English

OpenGL ES is the standard graphics API used for mobile and embedded systems. Despite its widespread use, there is a lack of material that addresses the balance of both theory and practice in OpenGL ES. JungHyun Han’s Introduction to Computer Graphics with OpenGL ES achieves this perfect balance. Han’s depiction of theory and practice illustrates how 3D graphics fundamentals are implemented. Theoretical or mathematical details around real-time graphics are also presented in a way that allows readers to quickly move on to practical programming. Additionally, this book presents OpenGL ES and shader code on many topics. Industry professionals, as well as, students in Computer Graphics and Game Programming courses will find this book of importance.

Название: Технология разработки программного обеспечения
Автор: Гагарина Л.Г., Кокорева Е.В., Виснадул Б.Д.
Издательство: М.: Форум, ИНФРА-М
Год: 2008
Cтраниц: 401
Формат: pdf
Размер: 104 мб
Язык: русский

Рассматриваются основные понятия и определения, классификация ПО, этапы создания программного продукта в рамках жизненного цикла, освещается современное состояние технологий разработки программных продуктов. Изложены существующие подходы к оценке качества процессов создания ПО, произведен анализ требований и определение спецификаций ПО.

Название: Human Centric Visual Analysis with Deep Learning
Автор: Liang Lin, Dongyu Zhang
Издательство: Springer
Год: 2020
Страниц: 160
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book introduces the applications of Deep Learning (DL) in various human centric visual analysis tasks, including classical ones like face detection and alignment and some newly rising tasks like fashion clothing parsing. Starting from an overview of current research in human centric visual analysis, the book then presents a tutorial of basic concepts and techniques of Deep Learning. In addition, the book systematically investigates the main human centric analysis tasks of different levels, ranging from detection and segmentation to parsing and higher-level understanding. At last, it presents the state-of-the-art solutions based on Deep Learning for every task, as well as providing sufficient references and extensive discussions.

Название: Colorful Statistics with Basic Steps in R
Автор: Usman Zafar Paracha
Издательство: Amazon Digital Services LLC
Год: 2019
Страниц: 384
Язык: английский
Формат: pdf (true)
Размер: 21.51 MB

This book is a try to make statistics colorful along with basic instructions in R Programming Language. It has handy illustrations on a huge number of statistical topics with beautiful colors as can be found through the table of contents. Statistics is an art as well as science, and needs help of both fields for explanation. You need stronger imagination as an artist and well-designed research as a scientist.

Название: Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Автор: Palash Goyal, Sumit Pandey, Karan Jain
Издательство: Apress
Год: 2018
Формат: PDF
Страниц: 290
Размер: 11,29 МБ
Язык: English

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.
You’ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system.