Additive manufacturing of alloys has enabled the creation of machine parts that meet the complex requirements needed to ...

The programme is designed for aspiring data scientists, AI enthusiasts, technology professionals seeking to upskill.

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

Abstract: We have developed a Probabilistic Multi-Topic Model that segments large-scale online clients, such as those on e-commerce platforms or social media, into distinct aesthetic quality ...

Topics include growth hacking, game design, blockchain, AI, digital marketing, cybersecurity, copywriting, and big data. Today’s best data science courses offer hands-on experience with Python, SQL, ...

Topic modeling was conducted using BERTopic and latent Dirichlet allocation models. Statistical analyses included calculating correlations between sentiment intensity and outbreak severity levels and ...

Abstract: With the prevalence of short texts in various forms such as news headlines, tweets, and reviews, short text analysis has gained significant interest in recent times. However, modeling short ...

Developed an end-to-end customer churn prediction ML pipeline using Python, pandas, and scikit-learn. Implemented and trained a logistic regression model, then deployed it as a REST API service using ...