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Comparing Outlier Detection Methods | by John Andrews | Dec, 2023

Data ScienceFebruary 22, 2025132Views 0Likes 0Comments

Using batting stats from Major League Baseball’s 2023 season Shohei Ohtani, photo by Erik Drost on Flikr, CC BY 2.0Outlier detection is an unsupervised machine learning task to identify anomalies (unusual observations) within a given data set. This task is helpful in many real-world cases where our available dataset is already “contaminated” by anomalies. Scikit-learn…

Undersampling Techniques Using Python – KDnuggets

Data AnalyticsFebruary 22, 2025134Views 0Likes 0Comments

With the evolving digital landscape, a wealth of data is being generated and captured from diverse sources. While immensely valuable, this vast universe of information often reflects the imbalanced distribution of real-world phenomena. The problem of imbalanced data is not merely a statistical challenge; it has far-reaching implications for the accuracy and reliability of the…

This AI Paper Introduces RTMO: A Breakthrough in Real-Time Multi-Person Pose Estimation Using Dual 1-D Heatmaps

AI NewsFebruary 22, 2025123Views 0Likes 0Comments

The field of pose estimation, which involves determining the position and orientation of an object in space, is a rapidly evolving area, with researchers continuously developing new methods to improve its accuracy and performance. Researchers from three highly regarded institutions – Tsinghua Shenzhen International Graduate School, Shanghai AI Laboratory, and Nanyang Technological University – have…

Maximising the impact of our breakthroughs

OpenAIFebruary 22, 2025113Views 0Likes 0Comments

Applying our AI research to help enrich the lives of billions of people around the world Building useful products with new technologies has always been one of my greatest joys. As a boy, I’d spend hours connecting resistors, capacitors, and other electronic components with wires. First I’d assemble a Morse code circuit. Then dissemble the…

Intuitive Explanation of Exponential Moving Average | by Vyacheslav Efimov | Dec, 2023

Data ScienceFebruary 22, 2025114Views 0Likes 0Comments

Understand the logic behind the fundamental algorithm used inside the gradient descent In time series analysis, there is often a need to understand the trend direction of a sequence by taking into account previous values. Approximation of the next values in a sequence can be performed in several ways, including the usage of simple…

3 Ways to Generate Hyper-Realistic Faces Using Stable Diffusion

Data AnalyticsFebruary 22, 2025121Views 0Likes 0Comments

Image by Author Ever wonder how people generate such hyper-realistic faces using AI image generation while your own attempts end up full of glitches and artifacts that make them look obviously fake? You've tried tweaking the prompt and settings but still can't seem to match the quality you see others producing. What are…

This AI Paper Introduces EdgeSAM: Advancing Machine Learning for High-Speed, Efficient Image Segmentation on Edge Devices

AI NewsFebruary 22, 2025125Views 0Likes 0Comments

The Segment Anything Model (SAM) is an AI-powered model that segments images for object detection and recognition. It is an effective solution for various computer vision tasks. However, SAM is not optimized for edge devices, which can lead to retarded performance and high resource consumption. Researchers from S-Lab Nanyang Technological University and Shanghai Artificial Intelligence…

How our principles helped define AlphaFold’s release

OpenAIFebruary 22, 2025148Views 0Likes 0Comments

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Boost Rust Code 7x with SIMD: Key Rules | Towards Data Science | Medium

Data ScienceFebruary 22, 2025120Views 0Likes 0Comments

Recall that Rule 6, from Part 1, shows how to make Rust SIMD algorithms fully generic across type and LANES. We next need to pick our algorithm and set LANES. In this rule, we’ll see how to use the popular criterion crate to benchmark and evaluate our algorithms and options. In the context of range-set-blaze,…

Enhancing LLM Reasoning: Unveiling Chain of Code Prompting

Data AnalyticsFebruary 22, 2025125Views 0Likes 0Comments

Image created by Author with DALL•E 3 Key Takeaways Chain of Code (CoC) is a novel approach to interacting with language models, enhancing reasoning abilities through a blend of code writing and selective code emulation. CoC extends the capabilities of language models in logic, arithmetic, and linguistic tasks, especially those requiring a combination…