Authors: Badrish Prakash, Karthik Gandhi, Saipriya Ashok Summary In the first part of a three-part series on CECL, we discussed the
Archive for category: Technical
Deploying a Custom Machine Learning Model as REST API with AWS SageMaker
| Blogs, Technical, AWS Sagemaker, Big Data, Data Engineering, Machine Learning, Model DeploymentAuthor: Naresh Reddy Introduction SageMaker is a fully managed machine learning service. It provides you support to build models using
Automated Data Quality Checks with Deequ using Spark
| Blogs, Technical, Big Data, Data Engineering, Data Quality Checks, Deequ, Machine LearningAuthor: Joshan Kotni Introduction When dealing with data, the main factor to be considered is the quality of data. Especially
Bayesian Belief Network – Event Prediction, Driver Analysis & Intervention Assessment
| Blogs, Technical, Advanced Analytics, Bayesian Belief Network, Data Science, Machine LearningAuthor: Sujeet Kumar Introduction In our previous post on the Bayesian Belief Network, we learned about the basic concepts governing
Multithreading and Caching to Improve I/O Bound Performance
| Blogs, Technical, Big Data, Caching, Data Engineering, Machine Learning, MultithreadingAuthor: Ganesh Gs Introduction This article focusses on giving a detailed explanation of how one can reduce the latency for
Bayesian Belief Network – An Introduction
| Blogs, Technical, Advanced Analytics, Bayesian Belief Network, Data Science, Machine LearningAuthor: Sujeet Kumar Introduction In the world of machine learning and advanced analytics, everyday data scientists solve tons of problems
Author: Karthikeyan Siva Baskaran Introduction The Snowflake Connector for Spark enables using Snowflake as a Spark data source – similar
CECL in Loss Forecasting – Challenges and Opportunities
| Banking & Financial Services, Blogs, Technical, Advanced Analytics for Banking, CECL, Loss Forecasting ModelsAuthors: Nidhi Chadha, Karthik Gandhi Introduction One of the key lessons the financial world took away from the Great Recession
Machine Learning Model Implementation on Azure – From Jupyter to Production
| Blogs, Technical, Azure Functions, Machine Learning, Model ImplementationAuthor: Viji Ekambaram Introduction As Data Scientists, one of the most pressing challenges we have is on how to operationalize
Mathematical Modeling of Epidemics
| Blogs, General, Technical, Analysis, Coronavirus, COVID-19, Epidemic ModelingBy Sri Vallabha Deevi The situation now COVID-19 has brought the world to a standstill. Countries around the world are
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