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Using AI in Waste Management

IoTFebruary 9, 2024132Views0Likes0Comments
Artificial intelligence and machine learning are fundamentally transforming how industries operate, especially with regard to automation and big data processing. When applied to the waste management sector, these solutions can streamline the complete value chain, optimizing everything from garbage collection to smart recycling.  How AI Can Transform Waste Management Since 1990, Americans have generated…

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Deep Learning Illustrated, Part 2: How Does a Neural Network Learn? | by Shreya Rao | Feb, 2024

Data ScienceFebruary 8, 2024128Views0Likes0Comments
An illustrated and intuitive guide on how Neural Networks learn Welcome to Part 2 of the Deep Learning Illustrated series. In the previous article (definitely read that first!), we covered how a neural network works and how a trained neural network makes predictions. In this article, we’ll delve into the training process and explore how…

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A Buyer’s Guide for AP Automation Platforms

NanonetsFebruary 8, 2024132Views0Likes0Comments
Among finance professionals and business leaders, AP automation is quickly shifting from an exploratory endeavor to a key strategic priority. By streamlining the accounts payable cycle with Artificial Intelligence and automation-centric tools, AP teams can reap the benefits of airtight data accuracy, seamless invoice processing, and downstream collaboration with other teams or business processes. AP…

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Pioneering Large Vision-Language Models with MoE-LLaVA

AI NewsFebruary 8, 202497Views0Likes0Comments
In the dynamic arena of artificial intelligence, the intersection of visual and linguistic data through large vision-language models (LVLMs) is a pivotal development. LVLMs have revolutionized how machines interpret and understand the world, mirroring human-like perception. Their applications span a vast array of fields, including but not limited to sophisticated image recognition systems, advanced natural…

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3 Key Encoding Techniques for Machine Learning: A Beginner-Friendly Guide with Pros, Cons, and Python Code Examples | by Ryu Sonoda | Feb, 2024

Data ScienceFebruary 8, 2024111Views0Likes0Comments
How should we choose between label, one-hot, and target encoding? 15 min read · 16 hours ago Why Do We Need Encoding? In the realm of machine learning, most algorithms demand inputs in numeric form, especially in many popular Python frameworks. For instance, in scikit-learn, linear regression, and neural networks require numerical…

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