Discover the concepts and basic methods of causal machine learning applied in Python Photo by David Clode on UnsplashCausal inference has many tangible applications in a wide variety of scenarios, but in my experience, it is a subject that is rarely talked about among data scientists. In this article, we define causal inference and motivate…
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In the challenging fight against illegal poaching and human trafficking, researchers from Washington University in St. Louis’s McKelvey School of Engineering have devised a smart solution to enhance geospatial exploration. The problem at hand is how to efficiently search large areas to find and stop such activities. The current methods for local searches are limited…
Image by AuthorFunctions are essential in a data science project because they make the code more modular, reusable, readable, and testable. However, writing a messy function that tries to do too much can introduce maintenance hurdles and diminish the code’s readability. In the following code, the function impute_missing_values is long, messy, and tries to do…
A company’s Accounts Payable (AP) department carries the very important responsibility of tracing what the business owes to suppliers and vendors and verifying that payments are approved and made to these counterparties. Without an AP department, a business would have a difficult time tracking down all the invoices it receives from its suppliers and ensuring…
Years ago, suppliers and buyers lined up at auction houses to wheel and deal, negotiating in person to find the best product at the best price (for both parties). It goes without saying that the Internet killed the auction house for everyday B2B solicitation, but the model remained. Though negotiations were digitized and distant, most…
This week on KDnuggets: Here are five free university courses to help you get started in a data science career • Understand the unstructured data dilemma • And much, much more!
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There are two major challenges in visual representation learning: the computational inefficiency of Vision Transformers (ViTs) and the limited capacity of Convolutional Neural Networks (CNNs) to capture global contextual information. ViTs suffer from quadratic computational complexity while excelling in fitting capabilities and international receptive field. On the other hand, CNNs offer scalability and linear complexity…
Introduction to AutoGen and Mistral AI: AutoGen is a framework developed by Microsoft and designed to simplify the development of multi-agent applications, particularly in orchestrating LLM agents. Multi-agent applications involve systems where multiple LLM or multi-modal agents or entities interact with each other in the whole workflow to achieve specific goals or tasks. These agents…
Automation in accounting? A game-changer! Imagine invoice processing costs dropping from $40 to $1.42 each. That's why accounting automation is among the hottest trends today. QuickBooks Online is a powerhouse in accounting, but pair it with Zapier's automation magic, and you get an unstoppable duo. You can connect QuickBooks with over 5000+ apps — no code needed. Create an…