Skip to content

Commit dc303e5

Browse files
committed
update SynapseML doc
1 parent 92b5ca8 commit dc303e5

File tree

1 file changed

+1
-3
lines changed

1 file changed

+1
-3
lines changed

articles/synapse-analytics/Cognitive Services with SynapseML - Overview.md

Lines changed: 1 addition & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -9,8 +9,6 @@ ms.service: cognitive-search
99
---
1010
# Cognitive Services
1111

12-
<image type="icon" width="200" src="https://mmlspark.blob.core.windows.net/graphics/Readme/cog_services_on_spark_2.svg" />
13-
1412
[Azure Cognitive Services](https://azure.microsoft.com/services/cognitive-services/) are a suite of APIs, SDKs, and services available to help developers build intelligent applications without having direct AI or data science skills or knowledge by enabling developers to easily add cognitive features into their applications. The goal of Azure Cognitive Services is to help developers create applications that can see, hear, speak, understand, and even begin to reason. The catalog of services within Azure Cognitive Services can be categorized into five main pillars - Vision, Speech, Language, Web Search, and Decision.
1513

1614
## Usage
@@ -232,7 +230,7 @@ display(
232230
```
233231

234232
## Form Recognizer sample
235-
[Form Recognizer](https://azure.microsoft.com/services/form-recognizer/) is a part of Azure Applied AI Services that lets you build automated data processing software using machine learning technology. Identify and extract text, key/value pairs, selection marks, tables, and structure from your documents—the service outputs structured data that includes the relationships in the original file, bounding boxes, confidence and more. In this sample, we analyze a business card image and extract its information into structured data.
233+
[Form Recognizer](https://azure.microsoft.com/services/form-recognizer/) is a part of Azure Applied AI Services that lets you build automated data processing software using machine learning technology. Identify and extract text, key/value pairs, selection marks, tables, and structure from your documentsthe service outputs structured data that includes the relationships in the original file, bounding boxes, confidence and more. In this sample, we analyze a business card image and extract its information into structured data.
236234

237235

238236
```python

0 commit comments

Comments
 (0)