2020 Artificial Inteligence Machine Learning 
Hacker Earth Developers Blog
JANUARY 31, 2020
Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% Top 20 ML/AI Influencers in 2020. Adam Coates.
Hacker Earth Developers Blog
JANUARY 31, 2020
Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% Top 20 ML/AI Influencers in 2020. Adam Coates.
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TechCrunch
FEBRUARY 24, 2021
Aquarium , a startup from two former Cruise employees, wants to help companies refine their machine learning model data more easily and move the models into production faster. Using Aquarium, they refined their model and improved accuracy by 13%, while cutting the cost of human reviews in half, Gao said.
TechCrunch
DECEMBER 9, 2020
At a time when more companies are building machine learning models, Arthur.ai wants to help by ensuring the model accuracy doesn’t begin slipping over time, thereby losing its ability to precisely measure what it was supposed to. AWS announces SageMaker Clarify to help reduce bias in machine learning models.
TechCrunch
SEPTEMBER 28, 2022
It’s widely understood that after machine learning models are deployed in production, the accuracy of the results can deteriorate over time. launched in 2019 with the goal of helping companies monitor their models to ensure they stayed true to their goals. snags $15M Series A to grow machine learning monitoring tool.
TechCrunch
MARCH 17, 2021
OctoML , a Seattle-based startup that offers a machine learning acceleration platform build on top of the open-source Apache TVM compiler framework project , today announced that it has raised a $28 million Series B funding round led by Addition.
CIO
MAY 23, 2024
Much of the data that organizations are mining is unstructured or semi-structured, and the trend is growing such that more than 80% of corporate data is expected to be unstructured by 2020 [1]. In response to this challenge, vendors have begun offering Machine Learning as a Service (MLaaS).
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