Название: Machine Learning Systems for Multimodal Affect Recognition
Автор: Markus Kachele
Издательство: Springer Vieweg
Год: 2020
Страниц: 198
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

Markus Kachele offers a detailed view on the different steps in the affective computing pipeline, ranging from corpus design and recording over annotation and feature extraction to post-processing, classification of individual modalities and fusion in the context of ensemble classifiers. He focuses on multimodal recognition of discrete and continuous emotional and medical states. As such, specifically the peculiarities that arise during annotation and processing of continuous signals are highlighted. Furthermore, methods are presented that allow personalization of datasets and adaptation of classifiers to new situations and persons.

Название: Network Science: An Aerial View
Автор: Francesca Biagini, Goran Kauermann
Издательство: Springer
Год: 2020
Страниц: 124
Язык: английский
Формат: pdf (true), epub
Размер: 14.3 MB

This book provides an overview of network science from the perspective of diverse academic fields, offering insights into the various research areas within network science. The authoritative contributions on statistical network analysis, mathematical network science, genetic networks, Bayesian networks, network visualisation, and systemic risk in networks explore the main questions in the respective fields: What has been achieved to date? What are the research challenges and obstacles? What are the possible interconnections with other fields? And how can cross-fertilization between these fields be promoted?

Название: Advanced Excel Solutions: A user’s cookbook
Автор: Harish Gopalkrishnan
Год: 2016
Формат: EPUB, PDF
Страниц: 783
Размер: 15,9 Mb
Язык: English

For a user … By a user
This book is a collection of general techniques that can be easily combined to create a wide variety of spreadsheet based solutions.
Written for a typical analyst/manager business owner (who spends a lot of time combining & processing inputs from different sources and then sends different outputs to different stakeholder), instead of diving deep into minute details, the book focuses on techniques that:
– can be used frequently
– have practical utility
– are easy to learn
– are flexible enough to be combined with at least one other technique.

Название: Algorithmic Problem Solving with Python
Автор: John B. Schneider, Shira Lynn Broschat, Jess Dahmen
Издательство: Washington State University
Год: 2019
Страниц: 360
Язык: английский
Формат: pdf (true), djvu
Размер: 10.2 MB

This book uses Python to introduce folks to programming and algorithmic thinking. It is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.

Название: Mastering C#
Автор: Pandikumar S.
Издательство: Naplin Publications
ASIN: B07R2NC6K7
Год: 2019
Страниц: 101
Язык: английский
Формат: epub, azw3, pdf (conv)
Размер: 10.1 MB

“Mastering C#” is mainly focuses on the advanced concepts like Exception handling, Multi-threading and ADO.Net.
The first chapter explains how to deal with exceptions, which provide an object-oriented mechanism for handling life's little emergencies.The second chapter focus about multithreading because multi-threading is vital concept of every programming language. The third chapter of this book will explain you about database and its types and how to use ADO.Net to access databases, work with DataReader, DataAdapter and Dataset. Each concept has lots of sample programs. These programs are very simple and compact. These sample programs are using SQL Server 2008, so you have to install and configure the software before run the programs.

Название : The Universal Computer: The Road from Leibniz to Turing, Third Edition
Автор : Martin Davis
Издательство: CRC Press
Год издания : 2018
Страниц: 240
Формат : PDF
Размер файла: 26,2 Mб
Язык : English

This book is about the underlying concepts on which our modern computers
are based and about the people who developed these concepts. In the spring of 1951, shortly after completing my doctorate in mathematical logic at Princeton University where Alan Turing worked a decade earlier, I was teaching a course at the University of Illinois based on his ideas. A young mathematician who attended my lectures called my attention to a pair of machines being constructed across the street from my classroom that heinsisted were embodiments of Turing’s conception. It was not long before I found myself writing software for early computers. My professional career spanning half a century revolved around this relationship between the abstract logical concepts underlying modern computers and their physical realization.

Название: asyncio Recipes: A Problem-Solution Approach
Автор: Mohamed Mustapha Tahrioui
Издательство: Apress
Год: 2019
Страниц: 330
Язык: английский
Формат: pdf (true), azw3, epub
Размер: 10.1 MB

Get the most out of asyncio and find solutions to your most troubling Python programming problems. This book offers a pragmatic collection of recipes by going beyond online resources and docs to provide guidance on using this complex library. As such, you’ll see how to improve application performance and run computationally intensive programs faster. What Is Asyncio? The cooperative concurrency framework Asyncio was written to address the need for fast single-threaded programs that don't waste CPU time on I/O bound tasks. Its primitives like coroutines and event loops allow developers to execute code only when it’s not waiting for I/O and to yield control back for other tasks.

Название: Progressive Web Apps with Angular: Create Responsive, Fast and Reliable PWAs Using Angular
Автор: Majid Hajian
Издательство: Apress
Год: 2019
Страниц: 380
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Harness the power of Angular to build fast, high performance progressive web apps that work offline. Learn exactly how to create an Angular Progressive Web App (PWA) from scratch, how you can use different tools to audit and improve it, and leverage Angular CLI or Workbox to turn your app into a PWA.

Название: Handbook of Research on Deep Learning Innovations and Trends
Автор: Aboul Ella Hassanien, Ashraf Darwish, Chiranji Lal Chowdhary
Издательство:
Год: 2019
Страниц: 374
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB

Leading technology firms and research institutions are continuously exploring new techniques in artificial intelligence and machine learning. As such, deep learning has now been recognized in various real-world applications such as computer vision, image processing, biometrics, pattern recognition, and medical imaging. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. The Handbook of Research on Deep Learning Innovations and Trends is an essential scholarly resource that presents current trends and the latest research on deep learning and explores the concepts, algorithms, and techniques of data mining and analysis.

Название: Handbook of Deep Learning Applications
Автор: Valentina Emilia Balas, Sanjiban Sekhar Roy
Издательство: Springer
ISBN: 3030114783
Год: 2019
Страниц: 380
Язык: английский
Формат: pdf (true)
Размер: 13.1 MB

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data.