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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…
It’s no secret that supervised machine learning models need to be trained on high-quality labeled datasets. However, collecting enough high-quality labeled data can be a significant challenge, especially in situations…
The emergence of Large Vision-Language Models (LVLMs) characterizes the intersection of visual perception and language processing. These models, which interpret visual data and generate corresponding textual descriptions, represent a significant…
Automation, machine learning and LLMs in the chip industry (source: chatGPT)I felt like one of those guys from Monsters Inc. You know, the ones in the big yellow hazmat suits.…
Optical character recognition (OCR) software help convert non-editable document formats such as PDFs, images, or paper documents into machine-readable formats that are editable & searchable. OCR applications are commonly used…