Estimating Uncertainty in Machine Learning Models — Part 1
“We demand rigidly defined areas of doubt and uncertainty!” - Douglas Adams, The Hitchhiker’s Guide to the Galaxy Why…
Getting Started with Natural Language Processing: US Airline Sentiment Analysis
Sections Introduction to NLP Dataset Exploration NLP Processing Training Hyperparameter Optimization Resources for Future Learning Introduction to NLP Natural Language…
Selecting the right weight initialization for your deep neural network
Part 1 of a two part series The weight initialization technique you choose for your neural network can determine…
Research Series: Understanding Generalization through Visualizations
By Ronny Huang, July 2019 Ronny Huang is a postdoc student at The University of Maryland and researcher in residence…
Building reliable machine learning pipelines with AWS Sagemaker and Comet
This tutorial is Part II of a series. See Part I here. Successfully executing machine learning at scale involves building reliable…
Codeless Deep Learning Pipelines with Ludwig and comet.ml
How to use Ludwig and comet.ml together to build powerful deep learning models right in your command line — using…
Building a DevOps Pipeline for Machine Learning and AI: Evaluating Sagemaker
The rush to build and deploy machine learning models has exposed cracks in traditional DevOps processes. Infrastructure built for…
