CloudxLab

www.cloudxlab.com

CloudxLab provides learning content on Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data, Hadoop, Spark and related technologies. We are a highly motivated team of developers, researchers, and engineers who build fresh and lasting learning experiences for our users. Powered by our innovation processes, we provide a gamified environment where learning is fun and constructive. From creative design to intuitive apps we create a seamless learning experience for our users. We provide an online cloud platform for making learning fun and sustainable. Checkout our Gamified Learning Environment which features an array of one-of-its-kind offerings including - • Gamified learning platform • Online Video Courses • 24 hours Lab access ( with Jupyter environment ) • Auto-assessment tests • BootML - The UI based Machine Learning model code generator Visit CloudxLab Website (www.cloudxlab.com) for more details.

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CloudxLab provides learning content on Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data, Hadoop, Spark and related technologies. We are a highly motivated team of developers, researchers, and engineers who build fresh and lasting learning experiences for our users. Powered by our innovation processes, we provide a gamified environment where learning is fun and constructive. From creative design to intuitive apps we create a seamless learning experience for our users. We provide an online cloud platform for making learning fun and sustainable. Checkout our Gamified Learning Environment which features an array of one-of-its-kind offerings including - • Gamified learning platform • Online Video Courses • 24 hours Lab access ( with Jupyter environment ) • Auto-assessment tests • BootML - The UI based Machine Learning model code generator Visit CloudxLab Website (www.cloudxlab.com) for more details.

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Country

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State

Oregon

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City (Headquarters)

Beaverton

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Employees

11-50

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Founded

2015

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Social

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  • Brand Strategy and Marketing Manager

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  • Working With Custom Loss Function

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  • Building Cat Vs Non - Cat Image Classifier Using Numpy

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  • Classify Clothes From Fashion Mnist Dataset

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