Название: Data Science for Supply Chain Forecasting, 2nd Edition
Автор: Nicolas Vandeput
Издательство: De Gruyter
Год: 2021
Страниц: 310
Язык: английский
Формат: pdf (true), epub
Размер: 27.4 MB

Using data science in order to solve a problem requires a scientific mindset more than coding skills. Data Science for Supply Chain Forecasting, Second Edition contends that a true scientific method which includes experimentation, observation, and constant questioning must be applied to supply chains to achieve excellence in demand forecasting.

Название: Machine Learning for Sustainable Development
Автор: Kamal Kant Hiran, Deepak Khazanchi, Ajay Kumar Vyas
Издательство: De Gruyter
Год: 2021
Страниц: 216
Язык: английский
Формат: pdf (true), epub
Размер: 120.6 MB

Machine learning (ML) is a part of computerized reasoning which comprises algorithms and artificial neural networks and displays qualities firmly connected with human insight. The book focuses on the applications of ML for sustainable development. This book provides an understanding of sustainable development and how we can forecast it using ML approaches.

Название: Web Applications with jаvascript or Java: Volume 2: Associations and Class Hierarchies
Автор: Gerd Wagner, Mircea Diaconescu
Издательство: De Gruyter
Год: 2021
Страниц: 200
Язык: английский
Формат: pdf (true), epub
Размер: 10.18 MB

Today, web applications are the most important type of software applications. This textbook shows how to design and implement them, using a model-based engineering approach that covers general information management concepts and techniques and the two most relevant technology platforms: jаvascript and Java. The book provides an in-depth tutorial for theory-underpinned and example-based learning by doing it yourself, supported by quiz questions and practice projects. Volume 1 provides an introduction to web technologies and model-based web application engineering, discussing the information management concepts of constraint-based data validation, enumerations and special datatypes. Volume 2 discusses the advanced information management concepts of associations and inheritance in class hierarchies.

Название: AutomationML: The Industrial Cookbook
Автор: Rainer Drath
Издательство: de Gruyter GmbH
Год: 2021
Формат: PDF
Страниц: 668
Размер: 101 Mb
Язык: English

This book provides a comprehensive in-depth look into the practical application of AutomationML Edition 2 from an industrial perspective. It is a cookbook for advanced users and describes re-usable pattern solutions for a variety of industrial applications and how to implement it in software. Just to name some: AutomationML modelling of AAS, MTP, SCD, OPC UA, Automation Components, Automation Projects, drive configurations, requirement models, communication systems, electrical interfaces and cables, or semantic integration aspects as eClass integration or handling of semantic heterogeneity. This book guides through the universe of Auto­mationML from industrial perspective. It is written by AutomationML experts that have industrially implemented AutomationML in pattern solutions for a large variety of applications.

Название: Advanced Analytics with Transact-SQL
Автор: Dejan Sarka
Издательство: Apress
Год: 2021
Формат: PDF
Страниц: 308
Размер: 13,8 Mb
Язык: English

Learn about business intelligence (BI) features in T-SQL and how they can help you with data science and analytics efforts without the need to bring in other languages such as R and Python. This book shows you how to compute statistical measures using your existing skills in T-SQL. You will learn how to calculate descriptive statistics, including centers, spreads, skewness, and kurtosis of distributions. You will also learn to find associations between pairs of variables, including calculating linear regression formulas and confidence levels with definite integration.

Название:
Автор: Identity in Modern Applications
Издательство: O’Reilly Media
Год: 2021
Формат: ePUB
Страниц: 41
Размер: 10 Mb
Язык: English

Mapping a person, place, or thing to a software resource in a verifiable manner is the basis of identity. Confirming that identity is a complex process, particularly when the identity mapping has to be verified genuine and authentic. Everything on the internet that houses private information is tied to identity and identity management.

Название: Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow
Автор: Magnus Ekman
Издательство: Addison-Wesley Professional
Год: 2021
Формат: ePUB
Страниц: 752
Размер: 43 Mb
Язык: English

Learning Deep Learning is a complete guide to deep learning with TensorFlow, the #1 Python library for building these breakthrough applications. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience.

Название: Generating a New Reality: From Autoencoders and Adversarial Networks to Deepfakes
Автор: Micheal Lanham
Издательство: Apress
Год: 2021
Страниц: 327
Язык: английский
Формат: pdf (true), epub
Размер: 26.9 MB

The emergence of artificial intelligence (AI) has brought us to the precipice of a new age where we struggle to understand what is real, from advanced CGI in movies to even faking the news. AI that was developed to understand our reality is now being used to create its own reality. In this book we look at the many AI techniques capable of generating new realities. We start with the basics of deep learning. Then we move on to autoencoders and generative adversarial networks (GANs). We explore variations of GAN to generate content. The book ends with an in-depth look at the most popular generator projects.

Название: Head First C#: A Learner's Guide to Real-World Programming with C# and .NET Core, 4th Edition
Автор: Jennifer Greene and Andrew Stellman
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, EPUB
Страниц: 800
Размер: 77,2 Mb, 13 Mb
Язык: English

Dive into C# and create apps, user interfaces, games, and more using this fun and highly visual introduction to C#, .NET Core, and Visual Studio. With this completely updated guide, which covers C# 8.0 and Visual Studio 2019, beginning programmers like you will build a fully functional game in the opening chapter. Then you'll learn how to use classes and object-oriented programming, create 3D games in Unity, and query data with LINQ. And you'll do it all by solving puzzles, doing hands-on exercises, and building real-world applications. By the time you're done, you'll be a solid C# programmer--and you'll have a great time along the way!

Название: Software Source Code: Statistical Modeling
Автор: Raghavendra Rao Althar, Debabrata Samanta, Debanjan Konar, Siddhartha Bhattacharyya
Издательство: De Gruyter
Год: 2021
Формат: PDF
Страниц: 358
Размер: 71 Mb
Язык: English

This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues.