Are GPUs Really Expensive? Benchmarking GPUs for Inference on Databricks Clusters
It is no secret that GPUs are critical for artificial intelligence and deep learning applications since their highly-efficient architectures make them ideal for…
GPU-accelerated Sentiment Analysis Using Pytorch and Huggingface on Databricks
Sentiment analysis is commonly used to analyze the sentiment present within a body of text, which could range from a review, an email…
MLflow for Bayesian Experiment Tracking
This post is the third in a series on Bayesian inference ([1], [2] ). Here we will illustrate how to use managed MLflow…
An Experimentation Pipeline for Extracting Topics From Text Data Using PySpark
This post is part of a series of posts on topic modeling. Topic modeling is the process of extracting topics from a set…
Using Bayesian Hierarchical Models to Infer the Disease Parameters of COVID-19
In a previous post, we looked at how to use PyMC3 to model the disease dynamics of COVID-19. This post builds on this…
The Modern Chief Data Officer: Transitioning From Defense to Offense
The Chief Data Officer (CDO) is not a new position – Capital One reportedly had a CDO all the way back in 2002.…
Reproduce Anything: Machine Learning Meets Data Lakehouse
Machine learning has proved to add unprecedented value to organization and projects – whether that’s for accelerating innovation, personalization, demand forecasting and countless…
Bayesian Modeling of the Temporal Dynamics of COVID-19 Using PyMC3
In this post, we look at how to use PyMC3 to infer the disease parameters for COVID-19. PyMC3 is a popular probabilistic programming…
