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Inferrd

2
11
+ 1
10
Lateral

3
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+ 1
0
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Lateral vs Inferrd: What are the differences?

Developers describe Lateral as "The ultimate API for recommending your content". Delight your users with personalised content recommendations. It's easy to set up and works with or without collaborative data. The Lateral API is trained on 10s of millions of high quality documents from law, academia and journalism. It can understand any document and provide intelligent recommendations. On the other hand, Inferrd is detailed as "*Deploy ML Models with a Simple Drag and Drop *". It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

Lateral and Inferrd can be primarily classified as "Machine Learning as a Service" tools.

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Pros of Inferrd
Pros of Lateral
  • 3
    Easy to use
  • 2
    Secure
  • 2
    Fast
  • 2
    Very quick response time
  • 1
    Fair pricing
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    What is Inferrd?

    It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

    What is Lateral?

    Delight your users with personalised content recommendations. It's easy to set up and works with or without collaborative data. The Lateral API is trained on 10s of millions of high quality documents from law, academia and journalism. It can understand any document and provide intelligent recommendations.

    Need advice about which tool to choose?Ask the StackShare community!

    Jobs that mention Inferrd and Lateral as a desired skillset
    What tools integrate with Inferrd?
    What tools integrate with Lateral?
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