Название: C# 9.0 in a Nutshell: The Definitive Reference, First Edition
Автор: Joseph Albahari
Издательство: O’Reilly Media
Год: 2021-02-26
Формат: epub/pdf(conv.)
Страниц: 1060
Размер: 15.7 Mb
Язык: English

When you have questions about C# 9.0 or .NET 5, this best-selling guide has the answers you need. C# is a language of unusual flexibility and breadth, but with its continual growth there's so much more to learn. In the tradition of O'Reilly's Nutshell guides, this thoroughly updated edition is simply the best one-volume reference to the C# language available today.

Название: Practical Fairness: Achieving Fair and Secure Data Models
Автор: Aileen Nielsen
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 346
Размер: 12,8 Mb
Язык: English

Fairness is becoming a paramount consideration for data scientists. Mounting evidence indicates that the widespread deployment of machine learning and AI in business and government is reproducing the same biases we're trying to fight in the real world. But what does fairness mean when it comes to code? This practical book covers basic concerns related to data security and privacy to help data and AI professionals use code that's fair and free of bias.

Название: Programming the DRAGON12-Plus-USB in C and Assembly Language Using CodeWarrior
Автор: Richard E. Haskell, Darrin M. Hanna
Издательство: LBE Books
Год: 2018
Страниц: 217
Размер: 67.1 МБ
Формат: PDF
Язык: English

In this book you will learn how to program the Freescale MC9S12DG256 microcontroller that is on the Wytec DRAGON12-Plus-USB™ board. You will learn to program this microcontroller in both assembly language and C using the industry-standard CodeWarrior development system. To make it as easy as possible we have provided a stationery project that you can build upon that includes a large collection of built-in assembly language routines to access all of the various I/O functions of the MC9S12DG256.

Название: Computational Analysis and Deep Learning for Medical Care: Principles, Methods, and Applications
Автор: Amit Kumar Tyagi
Издательство: Wiley-Scrivener
Год: 2021
Страниц: 528
Язык: английский
Формат: pdf (true)
Размер: 50.2 MB

This book discuss how Deep Learning can help healthcare images or text data in making useful decisions. For that, the need of reliable Deep Learning models like Neural networks, Convolutional neural network, Backpropagation, Recurrent neural network is increasing in medical image processing, i.e., in Colorization of Black and white images of X-Ray, automatic machine translation, object classification in photographs/images (CT-SCAN), character or useful generation (ECG), image caption generation, etc. Hence, Reliable Deep Learning methods for perception or producing belter results are highly effective for e-healthcare applications, which is the challenge of today. For that, this book provides some reliable Deep Learning or deep neural networks models for healthcare applications via receiving chapters from around the world. In summary, this book will cover introduction, requirement, importance, issues and challenges, etc., faced in available current Deep Learning models (also include innovative Deep Learning algorithms/models for curing disease in Medicare) and provide opportunities for several research communities with including several research gaps in Deep Learning models (for healthcare applications).

Название: Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications
Автор: Siddhartha Bhattacharyya, Paramartha Dutta
Издательство: ‎Academic Press, Elsevier
Год: 2021
Страниц: 403
Язык: английский
Формат: pdf (true)
Размер: 44.0 MB

Computational Intelligence (CI) is a subset of Artificial Intelligence. The field of Computational Intelligence has grown tremendously over that past five years, thanks to evolving soft computing and Artificial Intelligent (AI) methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of Computational Intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few.

Название: Multi-access Edge Computing: Software Development at the Network Edge
Автор: Dario Sabella
Издательство: Springer
Год: 2021
Формат: True PDF
Страниц: 416
Размер: 22 Mb
Язык: English

The textbook covers the main aspects of Edge Computing, from a thorough look at the technology to the standards and industry associations working in the field. The book is conceived as a textbook for graduate students but also functions as a working guide for developers, engineers, and researchers. The book aims not only at providing a comprehensive technology and standard reference overview for students, but also useful research insights and practical exercises for edge software developers and investigators in the area (and for students looking to apply their skills).

Название: Handbook of Mobile Application Development: a Guide to Selecting the Right Engineering and Quality Features
Автор: Mohamed Sarrab, Hafedh Al-Shihi, Naveen Safia
Издательство: Bentham Science Publishers
Год: 2021
Страниц: 114
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This handbook is a concise yet complete guide to fundamental engineering requirements and quality characteristics that users, developers, and marketers of mobile applications should be aware of. It provides detailed definitions and descriptions of eight key software application features that are integral to the overall design and user experience goals, and which may often overlap with certain functionalities and leave novice developers confused. Readers will also learn about how to optimize the listed features to tailor their applications to the needs of their users.

Название: Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results
Автор: Florent Buisson
Издательство: O’Reilly Media
Год: 2021
Формат: True (PDF, ePUB)
Страниц: 360
Размер: 12,5 Mb, 10 Mb
Язык: English

Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis.

Название: Earth Systems Data Processing and Visualization Using MATLAB
Автор: Zekai Sen
Издательство: Springer
Год: 2020
Формат: PDF
Страниц: 284
Размер: 18.6 MB
Язык: English

This book is designed to provide easy means of problem solving based on the science philosophical and logical rules that lead to effective and reliable software at the service of professional earth system scientists through numerical scientific computation techniques. Through careful examination of software illuminated by brief scientific explanations given in the book the reader may develop his/her skills of computer program writing.

Название: Reinforcement Learning: Industrial Applications of Intelligent Agents, 1st Edition
Автор: Phil Winder, Ph.D.
Издательство: O'Reilly Media
Год: 2021
Страниц: 408
Язык: английский
Формат: pdf (true), epub
Размер: 18.8 MB, 10.1 MB

Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcementand enable a machine to learn by itself.