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Machine Learning

  /  Machine Learning

Perhaps the most cutting-edge topic in brand image is how rapidly sentimental analysis is gaining competence in natural language processing. NLP has advanced to the point where the unique structure and language used in a social media context can be

Twitter’s new program - the Responsible ML Program doesn’t cause unintended harm. With algorithms showing up in numerous applications, experts contend that administrators and other concerned partners should be algorithms in proactively addressing factors that add to bias. Surfacing and responding

When a disease is studied, there are several factors that need to be addressed. The origin, sources, causes, effects, etc. form the preliminary part of the study. There’s yet another side of the story – the drug aspect of the

Every industry around the world is reshaped by digital transformation. According to IT advisory and research firm IDC, by 2022, over 60% of global GDP will be digitized, with growth in every sector driven by digitally enhanced offerings, operations, and

In the gaming industry, machine learning has become a crucial differentiator. Machine learning is important for computing and artificial intelligence development. Algorithms are used by all computers to provide instructions about how to solve the problems, analyze data, and perform other

DeepFakes: What are those? Why are they considered Dangerous? Deepfakes, or face-swap videos, are video or images that use machine learning to create and manipulate visuals of people or events. The most famous example is the celebrity deepfake videos which are

To some extent, an algorithmic audit can help companies to deal with bias in AI algorithms   Private and public sectors are progressively using artificial intelligence and machine learning systems  to automate basic and complex decision-making processes. The mass-scale digitization of data