Machine Learning Workflows - PowerPoint PPT Presentation

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Machine Learning Workflows

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Machine Learning Workflows pipeline architecture for advanced ensemble modeling and business logic. – PowerPoint PPT presentation

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Provided by: ClarifaiInc
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Title: Machine Learning Workflows


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About us
Clarifai is accelerating the progress of humanity
with continually improving AI.
  • Founded in 2013 by Matthew Zeiler, a foremost
    expert in machine learning, Clarifai has been a
    market leader since winning the top five places
    in image classification at the ImageNet 2013
    competition.
  • Recognized by leading industry analysts for our
    award-winning platform, Clarifai offers an
    end-to-end solution for modeling unstructured
    data for the entire AI lifecycle. Our powerful
    image, video, and text recognition solutions are
    built on the most advanced machine learning
    platform and made easily accessible via API,
    device SDK, and on-premise, empowering businesses
    all over the world to build a new generation of
    intelligent applications.
  •  

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Use Mesh Work Flows to easily process complex
logic and gain insights.
https//www.clarifai.com/products/armada-ml-predic
tion
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Action Triggers
React to the real world faster than ever was
possible before with the power of AI. Mesh
Workflow can turn the predictions made by your
AI models into action. Send alerts, trigger
external systems or even route data for further
processing.
https//www.clarifai.com/products/armada-ml-predic
tion
5
Multi-modal AI
Mesh lets you use one platform to process many
different types of data. Build inference
pipelines that recognize text in images (OCR),
and understand that text with natural language
processing (NLP). Chain together multiple
transformations easily for deeper insights.  
https//www.clarifai.com/products/armada-ml-predic
tion
6
Active learning
Continuously improve your production models with
auto-labeling, and keep a human in the loop to
ensure model quality. Mesh allows to build your
own custom training loop.  
https//www.clarifai.com/products/armada-ml-predic
tion
7
Noise reduction
Focus your dataset with helpful prebuilt models
that can quickly clean up many of the most
common use cases. Reduce the noise caused by
unwanted data so that you can build more
efficient and accurate models.
https//www.clarifai.com/products/armada-ml-predic
tion
8
Domain filtering
Build separate inference pipelines for your data
based on high level categories in your dataset.
Parse a large and complex dataset into
manageable chunks. Get to the data you need
quickly.
https//www.clarifai.com/products/armada-ml-predic
tion
9
Complex classification
Learn about the many dimensions of your dataset
by chaining together multiple classification
models. Learn about multiple categories of
information at once and optimize each model
individually.
https//www.clarifai.com/products/armada-ml-predic
tion
10
Object identification
Learn about what is in your visual data with
automatic object identification. Detection models
can even detect objects in specific regions of
an image and then pass this region to other
models for further processing.
https//www.clarifai.com/products/armada-ml-predic
tion
11
Object-to-object search
Search for like objects in your database. Perform
searches based on visual similarity alone. Mesh
workflows can classify and detect images that
power your search queries.
https//www.clarifai.com/products/armada-ml-predic
tion
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CONTACT US
  • Email Id info_at_clarifai.comWebsite
    https//www.clarifai.com/
  • Facebook ID https//www.facebook.com/Clarifai
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