We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
AR glasses gain real time visual context, Valve prepares new PC and VR hardware, and ElevenLabs launches a licensed voice market.
Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...
Integrating AI models with the medical domain is challenging as it involves more complex workflows compared to traditional machine learning operations (MLOps). Requirements such as model performance ...
In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...
Abstract: Pretrained language models (PLMs) have shown remarkable performance on question answering (QA) tasks, but they usually require fine-tuning (FT) that depends on a substantial quantity of QA ...
Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced ...
This repository contains the final project of my Data Science course. The project involved developing a machine learning model that predicts the cost of public sector projects in the UK. The focus is ...
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