InGeek CulturebyGatha Varma, PhD·May 1, 2023When Language Models be Tripping: The Types of Hallucinations in Generation TasksThe common forms of hallucinations that appear in different generation use cases.A response icon1A response icon1
Gatha Varma, PhD·May 27, 2022Machine Learning Workflows? Make it easy breezyGet the gist of Apache Airflow along with its installation steps, pros & cons, and how to automate data pipelines using AirflowA response icon2A response icon2
Gatha Varma, PhD·May 23, 2022Understanding Data Visualization using Apache SupersetA peek into what sets the Superset platform apart from its counterparts.A response icon1A response icon1
InGeek CulturebyGatha Varma, PhD·Apr 13, 2022How Real is Your Frankenstein Dataset?Common metrics to compare a real dataset against those synthesized from it
Gatha Varma, PhD·Mar 31, 2022The Big Picture with Apache Superset: Data Exploration and Building Your First DashboardEverything you need to know about getting the best out of Apache SupersetA response icon1A response icon1
InGeek CulturebyGatha Varma, PhD·Jan 25, 2022How not to stumble while evaluating interpretability?The hidden factors that influence interpretability evaluation for XAI
InGeek CulturebyGatha Varma, PhD·Nov 9, 2021When You’ve Got to Fake itCommon methods used for synthetic patient data generation
InGeek CulturebyGatha Varma, PhD·Oct 7, 2021Deep Learning and Its Privacy ChallengesHow the privacy expectations change when applied to deep learning
InGeek CulturebyGatha Varma, PhD·Sep 24, 2021Feature Attribution in Explainable AIModel explanations in the form of feature importance. What is it & how is it achieved?A response icon1A response icon1
InGeek CulturebyGatha Varma, PhD·Sep 15, 2021Evaluating Interpretability in Machine Learning ModelsHow to evaluate something that does not have uniform metrics? Hint: By designing suitable experiments.
