Название: The Art Of Fluid Animation
Автор: Jos Stam
Издательство: CRC Press
Жанр: Программирование
Год издания: 2016
Страниц: 256
ISBN: 978-1-4987-0020-7
Язык: Английский
Формат: PDF
Размер: 141 Мб

Fluid simulation is a computer graphic used to develop realistic animation of liquids in modern games. The Art of Fluid Animation describes visually rich techniques for creating fluid-like animations that do not require advanced physics or mathematical skills. It explains how to create fluid animations like water, smoke, fire, and explosions through computer code in a fun manner.

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.