Understanding the need for a Credit Scoring Model, Analysing the data of the model, Methods to calibrate the model, and the best practices.
Understanding the flexibility of training & reusing the models provided by major cloud providers i.e GCP, AZURE, & AWS by testing APIs.
Generating meaningful insights and predicting the prognostic and severity conditions by using Longitudinal Chest X-Ray analysis of a patient.
Understanding and Segmenting the COVID-19 Document corpus into “topics”, using Latent Dirichlet Allocation (LDA) to make querying easier and faster.
Triaging solutions to help improve workplace safety and boost employee / customer confidence, as businesses open in this pandemic-hit world
Our take on – When should this lockdown be relaxed and how do we know that we are making progress?
Our POV to classify Normal, Pneumonia and COVID-19 Pneumonia Chest X-Rays using supervised UMAP and Metric Learning
Explores how a technique like CDC helps in stitching together real-time data quickly and accurately, leveraging the tools available today.