Promotional Content
Stable Diffusion models are revolutionizing digital artistry, transforming mere text into stunning, lifelike images. These models, notably Stability AI’s Stable Diffusion XL, leverage Intel's GPU technology for creating incredibly detailed visuals from text. This blending of AI and creative expression is not just a technological leap but a gateway to…
Current challenges faced by large vision-language models (VLMs) include limitations in the capabilities of individual visual components and issues arising from excessively long visual tokens. These challenges pose constraints on the model’s ability to accurately interpret complex visual information and lengthy contextual details. Recognizing the importance of overcoming these hurdles for improved performance and versatility,…
In this new post I present the outcome of my quest for the most advanced and powerful libraries for web-based data visualization and analysis as judged by me after a careful analysis of performance, flexibility, and richness of features. Some of the libraries I selected are not popular at all, but they offer surprising capabilities…
Welcome to Expense Policy 101! Whether you’re the captain of a startup ship or steering a more established enterprise, grappling with expenses is as inevitable as those awkward team-building exercises. This guide seeks to demystify the enigma of creating and implementing a business expense policy that doesn’t just sit pretty in a company handbook but…
Accounts payable and spend management platforms are a tricky selection to make; many offer a range of services that can either be “too much” or “too little” for your business, depending on your needs. At the same time, though, there’s a glut of information available that makes determining the best platform for your needs a…
Image generated by DALL·E 3
Data scientists were placed in an exciting position; while their job in the modern era requires them to use the programming language, there are still many business aspects their job needs to remember. That’s why the Python code used by Data Scientists usually reflects storytelling on how to…
As human beings, we can read and understand texts (at least some of them). Computers in opposite “think in numbers”, so they can’t automatically grasp the meaning of words and sentences. If we want computers to understand the natural language, we need to convert this information into the format that computers can work with —…
Image by storyset on Freepik
It's a great time to break into data engineering. So where do you start?
Learning data engineering can sometimes feel overwhelming because of the number of tools that you need to know, not to mention the super intimidating job descriptions!
So if you are looking for a beginner-friendly…
Deep convolutional neural networks (DCNNs) have been a game-changer for several computer vision tasks. These include object identification, object recognition, image segmentation, and edge detection. The ever-growing size and power consumption of DNNs have been key to enabling much of this advancement. Embedded, wearable, and Internet of Things (IoT) devices, which have restricted computing resources…
How to know the unknowable in observational studies Introduction Problem Setup 2.1. Causal Graph 2.2. Model With and Without Z 2.3. Strength of Z as a Confounder Sensitivity Analysis 3.1. Goal 3.2. Robustness Value PySensemakr Conclusion Acknowledgements References The specter of unobserved confounding (aka omitted variable bias) is a notorious problem in observational studies. In…