# Machine kearning section in kibana

**URL:** <https://discuss.elastic.co/t/machine-kearning-section-in-kibana/180431>\
**Category:** Kibana\
**Tags:** elastic-stack-machine-learning\
**Created:** [May 9, 2019, 6:23pm UTC](https://discuss.elastic.co/t/machine-kearning-section-in-kibana/180431 "2019-05-09T18:23:54Z")\
**Posts on this page:** 7\
**Page:** 1

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**Author:** ![kumar4](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/kumar4/32/48326_2.png) [@kumar4](https://discuss.elastic.co/u/kumar4)\
**Post date:** [May 9, 2019, 6:23pm UTC](https://discuss.elastic.co/t/machine-kearning-section-in-kibana/180431/1 "2019-05-09T18:23:54Z")

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what does the section machine learning mean in kibana, i can index my data usinig fscrawler and tesseract but i now i need machine learning or deep learning to reconize images and compare them; can the machine learning section in kibana help me

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**Author:** ![Nathan\_Reese](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nathan_reese/32/84829_2.png) [@Nathan\_Reese](https://discuss.elastic.co/u/Nathan_Reese)\
**Post date:** [May 9, 2019, 6:41pm UTC](https://discuss.elastic.co/t/machine-kearning-section-in-kibana/180431/2 "2019-05-09T18:41:27Z")

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Elastic Machine Learning is not used for image recognition. It is used to automatically model the normal behavior of your time series data — learning trends, periodicity, and more — in real time to identify anomalies, streamline root cause analysis, and reduce false positives.

See [https://www.elastic.co/guide/en/kibana/current/xpack-ml.html](https://www.elastic.co/guide/en/kibana/current/xpack-ml.html) and [https://www.elastic.co/videos/machine-learning-in-the-elastic-stack](https://www.elastic.co/videos/machine-learning-in-the-elastic-stack) for more information

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**Author:** ![kumar4](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/kumar4/32/48326_2.png) [@kumar4](https://discuss.elastic.co/u/kumar4)\
**Post date:** [May 10, 2019, 1:35am UTC](https://discuss.elastic.co/t/machine-kearning-section-in-kibana/180431/3 "2019-05-10T01:35:12Z")

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ok but what does xprak provide ? and for my case i indexed file pdf, images .. using fscrawler and tesseracr to extract text from image, can you give a use case of machine learning in that situation

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**Author:** ![kumar4](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/kumar4/32/48326_2.png) [@kumar4](https://discuss.elastic.co/u/kumar4)\
**Post date:** [May 10, 2019, 1:35am UTC](https://discuss.elastic.co/t/machine-kearning-section-in-kibana/180431/4 "2019-05-10T01:35:58Z")

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i mean how machine leaning can apport for my case (i am indexing document files pdf; image;word) ?

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**Author:** ![richcollier](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/richcollier/32/115035_2.png) [@richcollier](https://discuss.elastic.co/u/richcollier)\
**Post date:** [May 10, 2019, 7:38pm UTC](https://discuss.elastic.co/t/machine-kearning-section-in-kibana/180431/5 "2019-05-10T19:38:48Z")

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Elastic Machine Learning's capabilities cannot currently help with your use case. It is currently limited to time-series anomaly detection and forecasting.

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<div class="post-metadata">

**Author:** ![kumar4](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/kumar4/32/48326_2.png) [@kumar4](https://discuss.elastic.co/u/kumar4)\
**Post date:** [May 12, 2019, 2:03am UTC](https://discuss.elastic.co/t/machine-kearning-section-in-kibana/180431/6 "2019-05-12T02:03:51Z")

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so how i can respond to my neeed

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**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [June 9, 2019, 2:14am UTC](https://discuss.elastic.co/t/machine-kearning-section-in-kibana/180431/7 "2019-06-09T02:14:50Z")

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