Lida Ghahremanlou (Jones)Callback: an easy way to stop training after convergenceToday I learnt something really cool how to stop training a neural network model when it reaches a certain point of accuracy, in other…Feb 25, 2021Feb 25, 2021
Lida Ghahremanlou (Jones)inTowards Data ScienceHidden tricks for running AutoML experiment from Azure Machine Learning SDKAutomated Machine Learning is an fast-growing field in Machine Learning community that enables users to try multiple algorithms and…Nov 16, 2020Nov 16, 2020
Lida Ghahremanlou (Jones)Invited Talks and Lectures· Western Sydney University — Institute of Culture and Society — Trends in AI and life after your PhD — Sep 2018Aug 3, 2020Aug 3, 2020
Lida Ghahremanlou (Jones)inTowards Data ScienceSubmitted Solution for Kaggle COVID-19 Open Research Dataset Challenge (CORD-19)This post described the solution that was submitted for the Kaggle CORD-19 competition.Jul 13, 2020Jul 13, 2020
Lida Ghahremanlou (Jones)inAnalytics VidhyaAn overview of Microsoft Azure NLP SolutionsIn this post, I will briefly discuss AI and NLP timelines with an overview of Azure AI. I with then provide a guideline of how to map…Jun 29, 2020Jun 29, 2020
Lida Ghahremanlou (Jones)How does Microsoft AutoML rank various Kaggle competitions?This poster was presented in Microsoft internal conference known as MLADS (Machine Learning, AI & Data Science) in Spring 2019.May 12, 2020May 12, 2020