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Update README.md

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AtieveWadhwa authored and mhamilton723 committed Oct 9, 2018
1 parent a0332fb commit f5bc8af36bb24955dcc3ea0680dec8b6253e0bbe
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@@ -5,12 +5,12 @@ Microsoft Machine Learning for Apache Spark
<img title="Build Status" align="right"
src="https://mmlspark.azureedge.net/icons/BuildStatus.svg" />
MMLSpark is an ecosytem of tools aimed to expand the distributed computing framework
MMLSpark is an ecosystem of tools aimed towards expanding the distributed computing framework
[Apache Spark](https://github.com/apache/spark) in several new directions.
MMLSpark adds a number of deep learning and data science tools to the Spark ecosystem,
MMLSpark adds many deep learning and data science tools to the Spark ecosystem,
including seamless integration of Spark Machine Learning pipelines with [Microsoft Cognitive Toolkit
(CNTK)](https://github.com/Microsoft/CNTK), [LightGBM](https://github.com/Microsoft/LightGBM) and
[OpenCV](http://www.opencv.org/). This enables powerful and highly-scalable predictive and analytical models
[OpenCV](http://www.opencv.org/). These tools enable powerful and highly-scalable predictive and analytical models
for a variety of datasources.
MMLSpark also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users
@@ -84,7 +84,7 @@ PySpark](http://mmlspark.azureedge.net/docs/pyspark/).
## Examples
* Create an deep image classifier with transfer learning ([example 1])
* Create a deep image classifier with transfer learning ([example 1])
* Fit a LightGBM classification or regression model on a biochemical dataset
([example 2]), to learn more check out the [LightGBM documentation
page](docs/lightgbm.md).
@@ -161,7 +161,7 @@ MMLSpark can be conveniently installed on existing Spark clusters via the
spark-submit --packages Azure:mmlspark:0.14 MyApp.jar
```
This can be used in other Spark contexts too, for example, you can use MMLSpark
This can be used in other Spark contexts too. For example, you can use MMLSpark
in [AZTK](https://github.com/Azure/aztk/) by [adding it to the
`.aztk/spark-defaults.conf`
file](https://github.com/Azure/aztk/wiki/PySpark-on-Azure-with-AZTK#optional-set-up-mmlspark).

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