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Understanding the Role of Data Annotation in Machine Learning

Understanding the Role of Data Annotation in Machine Learning

AI data annotation is a crucial process for the success of many AI technologies - this article explores data annotation and machine learning.

The Application of Data-Driven Algorithms in Machine Learning

Machine learning isn't so different from the human mind. In the digital world, ML derives its logic from algorithms while the data forms the stepping stone for visualization.
Machine Economy IIoT

The Machine Economy is Here: Powering a Connected World

The Machine Economy promises significant benefits for people, businesses, and the broader economy.
Edge, IIoT

Upgrading Industry 4.0 with Edge Analytics

Edge analytics is a major enabler of smart manufacturing, allowing operators to access machine data in real-time to streamline industrial processes.
AI Brain

Artificial Intelligence on the Edge

More useful sensors can be deployed to enhance productivity and comfort in the field using artificial intelligence on the edge.
AI and ML

Prioritizing Artificial Intelligence and Machine Learning in a Pandemic

The uncertainty brought on by COVID-19 has changed the way businesses prioritize their technology projects. Now is the time to implement AI and ML rather than put it on the back burner.
Machine Learning Training

Effective Tips To Build A Training Data Strategy for Machine Learning

Training your Machine Learning model is an inevitable task in building an effective AI solution.
machine learning

Does Machine Learning Hold the Key to Successful Automation?

The availability of massive amounts and varieties of data and cheaper computational processing has led to a resurgence in machine learning interest.
AI, ML, IoT

What is the Difference Between AI, ML, and Deep Learning?

Learn the difference between Machine Learning, Artificial Intelligence, and Deep Learning.
Machine learning, AI, IoT

Machine Learning Model Analysis Using TensorBoard

Machine Learning is growing by leaps and bounds, with new neural network models being released regularly. TensorBoard can help with the development and training process.
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