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19.04.2022.

Blockchain part Two: How it actually works

In first part of this blog series, I outlined some fundamental concepts pertaining to blockchain technology. Now I would like to dive deeper into how Blockchain actually works and see the inner workings of the technology itself.
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06.04.2022.

What is Computer Vision?

After the introduction of digital pictures in the 50s, computer scientists begged the question: can a computer analyzing a picture understand the world? Computer vision is a field of artificial intelligence (AI) which enables computers and systems to extract important information from digital pictures, videos, and other visual inputs. Computer vision then either takes actions from the data it has collected or gives suggestions on the basis of that data.
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01.02.2022.

TensorFlow.js – Machine Learning for JavaScript Developers – Part I

Through a series of articles, I will try to introduce you (primarily JavaScript developers) to the world of machine learning (ML). In the first part, I will talk in general about machine learning, the TensorFlow.js library, and the benefits of using it.
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26.01.2022.

Blockchain, Part One: An Introduction to Philosophy and Technology

Today’s media and social networks are full of news, posts, and articles about Bitcoin and other cryptocurrencies, NFTs and similar topics. This increasing popularity of Bitcoin and other cryptocurrencies made me wonder what exactly lies behind it, and how these things actually work. In this blog series we will explain what blockchain is and how it actually works.
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18.01.2022.

Applying Agile Risk Management

With increasing project complexity and with the COVID-19 pandemic many companies have been driven to reexamine and improve their risk management techniques, technologies, and processes. This short article should help you better understand how to apply risk management in agile projects and help you take steps to reduce risks in the future.
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18.11.2021.

Deep learning – OCR Text Detection and Text Recognition

Computer vision is an area of artificial intelligence that deals with extracting and analyzing valuable information from images. It can be used to read texts and numbers. For example, we can cite the translation of text visible through a camera in real-time or the evaluation of handwritten equations. Reding text in images has attracted increasing attention in computer vision due to many practical applications in document analysis, scene understanding, robot navigation, and image retrieval.
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16.11.2021.

State Management in Angular Applications – NGXS vs. NGRX

When we start creating a new application, we should adhere to the basic postulates: that the code we write is simple, easy to test, that it can be maintained, and that it is readable and understandable for the colleagues we work with or to those will subsequently take over maintaining our application. Furthermore, at the very beginning, we should think about how complex the structure of our application is and how we will manage the data we have without our application being fast, user friendly, or reliable.
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12.11.2021.

Handling XML data in .NET

XML is a widely used markup language in various environments. It is easily human and machine readable. Although it has recently been replaced by JSON in some usages, it still appears very frequently. In this post we will make an overview of automated XML data handling in .NET environment, using C# programming language.
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26.10.2021.

7 Important Tips to Write Code in C#

Writing code is not difficult – but writing code that tells a story can be. This post is intended for those who want to be better C# developers, and want to develop software that is easier to maintain.
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20.07.2021.

Appian Guide Series: Expression Rules and Grids

At this point, you learned how to create interfaces, processes, and constants. It is time to use that knowledge to finish our vacation approval application. We will also look at expression rules and lists.
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