Artificial Intelligence Act – Business Revolution or Evolution?

The European Union is recently working on a new legal act regulating artificial intelligence. Experts predict that the adoption of this regulation will cause a similar revolution to the one triggered by the implementation of GDPR to the business practice. Is this actually going to happen? Is every entrepreneur going to be made to adapt …

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Speed up Python with Numba

In the last article, I discussed which Python design decisions limit its performance. In this writing, I will demonstrate the Numba package that addresses those limitations to provide high-speed performance for specific use cases, particularly when speeding up functions performing computations on the Numpy’s ndarrays. “Numba is a just-in-time compiler for Python that works best on code that uses NumPy …

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Why is Python slow?

In this series of articles, I present some Python features that cause the execution time to be extended and some popular workarounds to make your code run faster. In the first part, I explain why Python is slower than low-level languages such as C or C++ and other high-level languages like Java or C#. Let’s …

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One of the best books to get started with Data Science

Some years ago, during my studies at the University of Bonn, I had a Computational Statistics lecture. It was one of the elective courses within the Econometrics and Statistics specialization. Until today, you can read on the syllabus of this lecture: “The course explains ideas and methodological issues of computationally intensive statistical methods. There will …

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Building ethical AI in your business – proactive rather than reactive approach.

AI development has exceeded our expectations. There is no doubt, that before our eyes is taking place the fourth industrial revolution. However, the adoption of data-driven systems brings with it many challenges. One of them is solving ethical dilemmas. We all agree that AI has the ability to enrich our everyday life. In fact, it’s …

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3 ways to create a Deep Neural Network model with Keras and Tensorflow 2.0 – Sequential, Functional and Subclassing API

In this article you will learn about three ways to create deep neural network models using Keras and Tensorflow 2.0 You will learn about their advantages and limitations, and see examples of how these methods are used. Keras and Tensorflow 2.0 provide three ways to build different deep neural network architectures: Sequential API Functional API …

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AI in crisis managament

Some people think, that the evolution of Artificial Intelligence can lead us to a global crisis. In my opinion, it is quite opposite! Artificial Intelligence is a very valuable member of the crisis management team right now and it is ready for new challenges. And nowadays there is no shortage of those … In crisis …

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