Synthetic Data

There’s no denying that biggest resource in the 21st century is data — Data is often referred as the 4th industrial generation; companies who have adopted this model of collecting data and using it to make informed decisions are the ones who are thriving. But collecting data and generating experiments…

Causality-Aware Local Explanations based on LIME Why do we need causality? Over the last few years, eXplainable Artificial Intelligence (XAI) methods have been experiencing a wave of popularity due to their ability to provide human-understandable explanations that express the rationale of black-box models used by decision-making systems. Despite the widespread adoption of these procedures, a…

There are very few serious articles in the literature dealing with digits of irrational numbers to build a pseudo-random number generator (PRNG). It seems that this idea was abandoned long ago due to the computational complexity and the misconception that such PRNG’s are deterministic while others are not. Actually, my…

Imagine you are involved in a project to ensure workers in your company’s factory are wearing the correct Personal Protective Equipment (PPE), but the PPE they’ll be using has yet to be produced — it exists only as a design. You want to be able to detect this with a…

In this tutorial we will answer the following questions “What is a Conditional GAN?” and “Why Conditional GANs are essential for tabular data generation?” What is a Conditional GAN? Conditional GANs (CGANs) are an extension of the GAN model. Conditional GANs allow the creation of synthetic data with certain conditions…

Live event on December 19. Hosted by Victor Chima, co-founder at Learncrunch. Guest speaker: Vincent Granville, Ph.D. Vincent created Data Science Central (acquired by TechTarget), one of the most popular online communities for Data Science and Machine Learning. He spent over 20 years in the corporate world at Microsoft, eBay…

TL;DR — Rendered.ai has built a novel analysis method for assessing the relevant feature similarity of synthetic image data to real data of the target domain. The method uses UMAP dimensionality reduction to view image embedding features as a three-dimensional plot. Overview Synthetic data is engineered, or simulated, data that can…

Almost three years after Apple launched its well-known voice assistant Siri for the Arabic language, there is still room for further improvement. Siri can currently understand more than 20 languages and dialects; but, when it comes to Arabic, its abilities are not good enough to fully understand what users need…