When 81% of your companies can’t even access their own data, that AI ambition starts looking more like a pipe dream.

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

This year, Stanford University organized Agents4Science , the first open conference to accept papers written entirely by ...

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 ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

Nine machine learning models—decision tree, random forest (RF), extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), support vector machine, elastic net, logistic ...

Conclusions: The high-performance XGB model for predicting postoperative delirium state in older adult ICU patients has been successfully developed and validated. The model predicts the delirium state ...

Abstract: This paper offers detailed comparative analysis of the most popular approaches to machine learning, i.e., Naive Bayes (NB) and Support Vector Machines (SVM), employed in sentiment analysis ...

A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...