/explore

Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.
You are here

lukesingham.com
| | dagshub.com

Explore the top ML workflow and pipeline tools, including tools from Netflix, to enhance your data science projects' efficiency and impact.
2.6 parsecs

Travel
| |
| | www.ssp.sh

Dagster is one of many Data Orchestrators. It operates in a declarative and data-aware manner, offering unique capabilities in data orchestration.
6.6 parsecs

Travel
| |
| | 0x65.dev

Our Journey to Microservices, Kubernetes and beyond.
3.2 parsecs

Travel
| |
| | brenocon.com

[AI summary] The provided text is a collection of comments and discussions from a blog post that originally criticized artificial neural networks (ANNs) in 2008. The comments reflect a range of opinions and debates about the relationship between machine learning (ML) and statistics, with some users defending ML techniques like support vector machines (SVMs), probabilistic graphical models, and deep learning, while others argue for the importance of statistical methods. There are also discussions about the need for better communication between disciplines, the limitations of ML approaches, and the importance of understanding the underlying assumptions of models. The text includes recommendations for textbooks and courses, such as 'All of Statistics' and Andre...
17.8 parsecs

Travel
|