Название: Разработка мобильных приложений Автор(ы): Соколова В.В. Издательство: Юрайт Год: 2019 Страниц: 176 Формат: PDF Размер: 14 Мб Язык: русский
Основной целью пособия является введение в разработку нативных мобильных приложений на платформах J2ME и Android. Описана краткая история развития мобильных технологий, представлена существующая классификация мобильных приложений и изложены основные этапы их разработки с использованием языка программирования Java.
Название: Academic Press Library in Signal Processing, Volume 6 : Image and Video Processing and Analysis and Computer Vision Автор: Rama Chellappa, Sergios Theodoridis Издательство: Academic Press Год: 2018 Страниц: 459 Язык: английский Формат: pdf (true) Размер: 36.7 MB
The last 5 years, although in a historical perspective appear to be a short period, in the context of science, engineering, and technology were very dense in terms of results and ideas. The availability of massive data, which we refer to as Big Data, together with advances in Machine Learning and affordable GPUs, has opened up new areas and opportunities. In particular, the application of deep learning networks to problems such as face/object detection, object recognition, face verification/recognition has demonstrated superior performance that was not thought possible just a few years back. We are at a time when “caffe,” the software for implementing deep networks, is probably used more than FFT! We take comfort that the basic module in caffe is convolution, the basic building block of signal and image processing.
Название: Pattern Recognition: Concepts, Methods and Applications Автор: J.P. Marques de Sa Издательство: Springer Science & Business Media Год: 2001 Формат: PDF Страниц: 330 Размер: 57,52 МБ Язык: English
Pattern recognition currently comprises a vast body of methods supporting the development of numerous applications in many different areas of activity. The generally recognized relevance of pattern recognition methods and techniques lies, for the most part, in the general trend of "intelligent" task emulation, which has definitely pervaded our daily life.
Название: Python by Example: Learning to Program in 150 Challenges Автор: Nichola Lacey Издательство: Cambridge University Press Год: 2019 Формат: true pdf/epub Страниц: 191 Размер: 20.6 Mb Язык: English
Python is today's fastest growing programming language. This engaging and refreshingly different guide breaks down the skills into clear step-by-step chunks and explains the theory using brief easy-to-understand language. Rather than bamboozling readers with pages of mind-numbing technical jargon, this book includes 150 practical challenges, putting the power in the reader's hands. Through creating programs to solve these challenges the reader will quickly progress from mastering the basics to confidently using subroutines, a graphical user interface, and linking to external text, csv and SQL files. This book is perfect for anyone who wants to learn how to program with Python. In particular, students starting out in computer science and teachers who want to improve their confidence in Python will find here a set of ready-made challenges for classroom use.
Название: Introduction to Deep Learning (The MIT Press) Автор: Eugene Charniak Издательство: The MIT Press Год: 2019 Страниц: 187 Язык: английский Формат: pdf (true) Размер: 16,3 MB
A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language processing, covers feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, unsupervised models, and other fundamental concepts and techniques. Students and practitioners learn the basics of deep learning by working through programs in Tensorflow, an open-source machine learning framework. “I find I learn computer science material best by sitting down and writing programs,” the author writes, and the book reflects this approach.
Название: Acceptance Test Driven Development with React Автор: Juntao Qiu Издательство: Amazon Digital Services LLC ASIN: B07GDPW69R Год: 2018 Страниц: 174 Язык: английский Формат: pdf (true), djvu Размер: 10.1 MB
This book describes how to apply the Acceptance Test Driven Development when developing a Web Application named bookish with React / Redux and other tools in react ecosystem. It also introduces best practices and design patterns in detail about how to write clean code.
Название: 5 Steps to a 5: AP Computer Science A 2019 Автор: Dean R. Johnson Издательство: McGraw-Hill Education ISBN: 1260122646 Год: 2018 Страниц: 513 Язык: английский Формат: pdf (true) Размер: 12.8 MB
A perfect plan for the perfect score. Score-Raising Features Include: 3 full-length practice exams Hundreds of practice exercises with thorough answer explanations Comprehensive overview of the AP Computer Science A exam format AP scoring guideline for the free-response section of the practice exams Two full sections devoted to algorithm writing and two levels of sample questions for each Java concept (basic & advanced)
Название: Computational Mathematics with SageMath Автор: P. Zimmermann, A. Casamayou Издательство: SIAM ISBN: 161197545X Год: 2018 Страниц: 478 Язык: английский Формат: pdf (true) Размер: 10.2 MB
SageMath, or Sage for short, is an open-source mathematical software system based on the Python language and developed by an international community comprising hundreds of teachers and researchers, whose aim is to provide an alternative to the commercial products Magma, Maple, Mathematica, and MATLAB. To achieve this, Sage relies on many open-source programs, including GAP, Maxima, PARI, and various scientific libraries for Python, to which thousands of new functions have been added. Sage is freely available and is supported by all modern operating systems.
Название: Analyzing Baseball Data with R, Second Edition Автор: Max Marchi, Jim Albert Издательство: Chapman and Hall/CRC Серия: The R Series ISBN: 0815353510 Год: 2018 Страниц: 361 Язык: английский Формат: pdf (true) Размер: 105.2 MB
Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online.
Название: Computer Coding Python Projects for Kids: A Step-by-Step Visual Guide Автор: Carol Vorderman Издательство: DK Children Год: 2017 Формат: True PDF Страниц: 224 Размер: 11.7 Mb Язык: English
Computer Coding Python for Kids has all you need to master Python - one of the world's most popular computer programming languages. Python is easier than other professional coding languages yet no less powerful. Computer Coding Python for Kids uses a hands-on approach to show it how works, with step-by-step projects that build knowledge gradually, from simple functions to building a space treasure game, kids will not only learn essential coding skills but have fun as they learn. Plus there are tips to personalise and adapt each project to encourage creative thinking.
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