txt

Narrative Science

  • Natural Language Processing
  • 1 Product
  • 0 Case Studies
The leader in automated narrative generation for the enterprise.

Apr 16

Two Days, Two Tracks: Here’s How to Navigate the Data Storytelling Virtual Summit

The post Two Days, Two Tracks: Here’s How to Navigate the Data Storytelling Virtual Summit appeared first on Narrative Science.

Read full article >


Apr 16

Data Storytellers Can Have It All: Find the Perfect Balance of Customization and Scale with Quill in Tableau

The post Data Storytellers Can Have It All: Find the Perfect Balance of Customization and Scale with Quill in Tableau appeared first on Narrative Science.

Read full article >

Apr 16

Data Storytellers Can Have It All: Find the Perfect Balance of Customization and Scale with Quill in Tableau

The post Data Storytellers Can Have It All: Find the Perfect Balance of Customization and Scale with Quill in Tableau appeared first on Narrative Science.

Read full article >

Apr 16

Two Days, Two Tracks: Here’s How to Navigate the Data Storytelling Virtual Summit

The post Two Days, Two Tracks: Here’s How to Navigate the Data Storytelling Virtual Summit appeared first on Narrative Science.

Read full article >

products
POSTS FROM RELATED COMPANIES
Exxact Corporation - Oct 27 - Blog Post:
PyTorch 1.7.0 Now Available

PyTorch is a popular, open source deep learning platform used for easily writing neural network layers in Python. Check out...

Exxact Corporation - Oct 27 - Blog Post:
PyTorch 1.7.0 Now Available

PyTorch is a popular, open source deep learning platform used for easily writing neural network layers in Python. Check out...

AWS - Machine Learning - Oct 27 - Blog Post:
Optimizing costs for machine learning with Amazon SageMaker

Applications based on machine learning (ML) can provide tremendous business value. Using ML, we can solve some of the most...

Allganize - Oct 27 - Blog Post:
Beating GPT-3 with Only 0.1% of the Parameters

Performance similar to GPT-3 can be obtained with language models whose parameter count is several orders of magnitude smaller.

Allganize - Oct 27 - Blog Post:
Beating GPT-3 with Only 223 Million Parameters

Performance similar to GPT-3 can be obtained with language models whose parameter count is several orders of magnitude smaller.

Keep updated on all things AI