No Tag
Learn How to Make Fewer Bad Decisions at Rev 2
By Karina Babcock
4 min readSubject archive for "practical-data-science-techniques," page 23
Data Science
Domino 3.3: Datasets and Experiment Manager
By Domino
5 min read
Perspective
On Collaboration Between Data Science, Product, and Engineering Teams
By Ann Spencer
35 min read
Data Science
R in ecology
By Auriel Fournier
14 min read
Perspective
Lessons from 20 Data Science Teams
By Nick Hotz
4 min read
Machine Learning
Machine Learning Projects: Challenges and Best Practices
By Lukas Biewald
9 min read
Data Science
Model interpretability with TCAV (Testing with Concept Activation Vectors)
By Domino
6 min read
Code
SHAP and LIME Python libraries: Part 2 - using SHAP and LIME
By Josh Poduska
9 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
Code
SHAP and LIME Python Libraries: Part 1 - Great Explainers, with Pros and Cons to Both
By Josh Poduska
6 min read
No Tag
Big data, big problems: Nate Silver of FiveThirtyEight shares tips for navigating today’s data science challenges
By Domino Data Lab
5 min read
No Tag
How Data Scientists Can Avoid Three Common Collaboration Challenges
By Domino Data Lab
6 min read
Perspective
How Your Data Science Team Can Improve Knowledge Management—And Why It Matters
By Domino Data Lab
7 min read
Product Updates
AWS and Domino Data Lab: containerized data science in AWS utilizing Kubernetes
By Domino Data Lab
1 min read
Model Scalability
Josh Poduska on tracking model lineage
By Josh Poduska
7 min read