Data Science
Evaluating Ray for distributed Python computing and massive scalability
By Dean Wampler
14 min readSubject archive for "machine-learning-engineer"
Data Science
Evaluating Generative Adversarial Networks (GANs)
By Domino
6 min read
Perspective
On Being Model-driven: Metrics and Monitoring
By Ann Spencer
7 min read
Data Science
Model interpretability with TCAV (Testing with Concept Activation Vectors)
By Domino
6 min read
Machine Learning
Creating Multi-language Pipelines with Apache Spark or Avoid Having to Rewrite spaCy into Java
By Holden Karau
5 min read
Data Science
Data Science vs Engineering: Tension Points
By Ann Spencer
99 min read
Data Science
Trust in LIME: Yes, No, Maybe So?
By Ann Spencer
7 min read
Data Science
Make Machine Learning Interpretability More Rigorous
By Ann Spencer
8 min read
Data Science
Feature engineering: a framework and techniques
By Ann Spencer
11 min read
Data Science
On Ingesting Kate Crawford’s “The Trouble with Bias”
By Domino
11 min read
Data Science
Data Science is more than Machine Learning
By Domino
5 min read
Perspective
Bias: Breaking the Chain that Holds Us Back
By Domino
16 min read
Data Science
The Machine Learning Reproducibility Crisis
By Pete Warden
9 min read
Data Science
Reproducible Machine Learning with Jupyter and Quilt
By Aneesh Karve
5 min read