- Versioning Machine Learning Experiments vs Tracking Them - Dec 27, 2021.
Learn how to improve ML reproducibility by treating experiments as code.
Experimentation, Machine Learning, Version Control
- Model Experiments, Tracking and Registration using MLflow on Databricks - Jan 5, 2021.
This post covers how StreamSets can help expedite operations at some of the most crucial stages of Machine Learning Lifecycle and MLOps, and demonstrates integration with Databricks and MLflow.
Data Science, Databricks, DataOps, Experimentation, MLflow, MLOps, Modeling, StreamSets
- Design of Experiments in Data Science - Sep 3, 2020.
Read this overview of the process of designing experiments for collecting data.
Design of Experiments, Experimentation
- Machine Learning Experiment Tracking - Jun 4, 2020.
Why is experiment tracking so important for doing real world machine learning?
Experimentation, Machine Learning, Python
How To “Ultralearn” Data Science: summary, for those in a hurry - Dec 30, 2019.
For those of you in a hurry and interested in ultralearning (which should be all of you), this recap reviews the approach and summarizes its key elements -- focus, optimization, and deep understanding with experimentation -- geared toward learning Data Science.
Advice, Data Science, Experimentation, Optimization, Ultralearn
- How To “Ultralearn” Data Science: deep understanding and experimentation, Part 4 - Dec 27, 2019.
In this fourth and final part of the ultralearning data science series, it's time to take the final steps toward developing a deep understanding of the fundamentals and learning how to experiment -- the two aspects that are the ultimate keys to ultralearning.
Advice, Data Science, Experimentation, Ultralearn
- Comet.ml – Machine Learning Experiment Management - Apr 9, 2018.
This article presents comet.ml – a platform that allows tracking machine learning experiments with an emphasis on collaboration and knowledge sharing.
Comet.ml, Experimentation, Machine Learning
- Interview: Joseph Babcock, Netflix on Discovery and Personalization from Big Data - Jun 15, 2015.
We discuss the steps involved in Discovery process at Netflix, impact due to multitude of devices, system generated logs, and surprising insights.
Experimentation, Insights, Interview, Joseph Babcock, Knowledge Discovery, Netflix, Personalization
- Develve statistical software, free for non-commercial use - Oct 10, 2014.
Check out Develve 2.0, a six-sigma tool, the new version featuring new utilities for measure system analysis and the design of sophisticated experiments.
Experimentation, Free Software, Statistical Modeling
