CML Insight - Causal AI / ML for Education

www.cmlinsight.com

Imagine what you can do when you know which initiatives contribute to your outcomes whether you are an educational institution or edtech company. Imagine finally understanding the relationship of cause and effect of your product or initiatives. Causal Machine Learning (CML) algorithms goes beyond predictions and recommends how you can innovate your student success practices to achieve greater results. Our Causal AI/ML approach is based on emerging causal inference research. Similar to techniques used in the 2021 Nobel winning prize in Economics. Causal AI/ML has the potential to change the world of decision making. Our teams are based in the US and Sri Lanka and have years of experience in Machine Learning in general and Causal Machine Learning in particular.

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Reach decision makers at CML Insight - Causal AI / ML for Education

Free credit every month!

Imagine what you can do when you know which initiatives contribute to your outcomes whether you are an educational institution or edtech company. Imagine finally understanding the relationship of cause and effect of your product or initiatives. Causal Machine Learning (CML) algorithms goes beyond predictions and recommends how you can innovate your student success practices to achieve greater results. Our Causal AI/ML approach is based on emerging causal inference research. Similar to techniques used in the 2021 Nobel winning prize in Economics. Causal AI/ML has the potential to change the world of decision making. Our teams are based in the US and Sri Lanka and have years of experience in Machine Learning in general and Causal Machine Learning in particular.

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Country

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State

Texas

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City (Headquarters)

Austin

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Employees

11-50

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Founded

2022

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Social

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Potential Decision Makers

  • Vice President of Ai

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  • Co - Founder and Chief Growth Officer

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  • Co - Founder and Chief Technology Officer

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  • Chief Executive Officer

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Reach decision makers at CML Insight - Causal AI / ML for Education

Free credits every month!

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