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…
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…
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.…
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,…
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Data scientists were placed in an exciting position; while their job in the modern era requires them to use the programming language, there…
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…
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It's a great time to break into data engineering. So where do you start?
Learning data engineering can sometimes feel overwhelming because of…
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…
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.…
In the age of relentless technological advancement, artificial intelligence has emerged as the unsung hero, revolutionizing industries one algorithm at a time. Among the sectors witnessing a seismic shift, the…