Machine Learning

Production Quality Control Using ML Featured
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Improve Production Line Quality using Machine Learning at the Edge

The industry 4.0 paradigm encourages the manufacturing industry to use machine learning, artificial intelligence, cloud computing and industrial internet of things (IIoT) technologies to improve industrial process, product quality, reduce…

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AWS vs. Azure vs. Google Cloud: Comparing Top Cloud Platforms for MLaaS

Machine Learning has become a pioneer in the data-driven world. Most enterprises use Machine Learning and Data Analytics to better understand their target audience Share Machine Learning has become a…

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5 Important Applications of Machine Learning in Networking

Rapidly rising demand for Internet connectivity has put a strain on improving network infrastructure, performance and other critical parameters. Network administrators have to encounter different types of network running multiple…

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Data Augmentation and its Importance in Machine Learning

The quantity and variation of data are important for the performance of most ML models (e.g. deep learning neural network models). Thus, the training of the neural network models requires…

Machine Learning Featured
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How Machine Learning optimizes Supply Chain Management?

In recent years, Artificial Intelligence and Machine Learning (AI-ML) has almost revolutionised the way different industries function. One such segment is Supply Chain Management. Share In recent years, Artificial Intelligence…