In the rapidly evolving business landscape, the efficiency of Accounts Payable (AP) processes is no longer just a back-office concern but a strategic imperative. The complexity and resource-intensive nature of traditional AP work is becoming unsustainable, particularly in the face of growing demands for speed and accuracy. Accounts Payable (AP) automation is the use of…
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Data science interviews test both hard technical skills and soft skills. Being well-prepared with strong answers for commonly asked data science interview questions is key to standing out.
In this blog post, we will learn about 26 data science interview questions that you should expect. The questions cover statistics, Python,…
One of the more intriguing developments in the dynamic field of computer vision is the efficient processing of visual data, which is essential for applications ranging from automated image analysis to the development of intelligent systems. A pressing challenge in this area is interpreting complex visual information, particularly in reconstructing detailed images from partial data.…
By now we may have moved on from “Happy new year!” territory, but January’s jolt of energy and activity is still very much with us. We see it in the posts that have drawn the most readers and generated the liveliest conversations in recent weeks: they tend to focus on teaching oneself new skills, seeking…
Month-end close is a widely accepted accounting standard that is aimed at keeping an accurate set of financial records and detecting errors/fraud. It involves recording, reviewing, and reconciling records at the end of every month. Month-end reconciliation is the most important part of the month-end close process. It’s a crucial step to ensure that you…
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If you’d like to switch to a data career, learning data analytics is super helpful. That’s why we put together this list of free data analytics courses to help you jumpstart your journey!
Even if you're an absolute beginner excited to explore the field of data, you’ll find these…
An illustrated and intuitive guide to Neural Networks If you have read my previous articles, you’ll know what’s coming next. In this part of the internet, we take complex-sounding concepts and make them fun and nbd by illustrating them. And if you haven’t read my previous articles, I highly recommend you start with my series…
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With data becoming the most valuable business asset, data analysis plays a crucial role in organizational decision-making. Companies need to inspect, transform thoroughly, and model data to discover helpful information and aid decision-making.
As organizations have to deal with increasing volumes of data, analyzing them has become a challenging task.…
GENERATIVE AI Learnings from fine tuning a large language model on a single consumer GPU Image by Author (Midjourney).When we think about Large Language Models or any other generative models, the first hardware that comes to mind is GPU. Without GPUs, many advancements in Generative AI, machine learning, deep learning, and data science would’ve been…
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As a solid ex-chess player (junior champion, ELO 2000+) and NLP data scientist, I have been planning to write this article for a while.
The first time I heard about ChatGPT's ability to play chess, was from one of my colleagues. Ph.D. and a very smart guy. He sent me…