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Disruptive technologies– an umbrella term for technical disciplines that are currently said to transform the digital landscape. The spearheads of this transformation are artificial intelligence (AI), data science, and machine learning (ML). The best part is these technologies are also interrelated. In technical parlance, machine learning is a dynamic application of AI that empowers the machines to learn from data provided and improve the model accuracy levels. And data scientists mine data to extract insights and forecast future trends based on the data collected from machine learning or AI models. However, these technologies seem very complex to a layman. And sometimes a business executive too. Even when setting up to make a career in these fields, it does cause confusion and trepidation about which branch will suit them best. So today, we are going to help you with that.
What are they?
Artificial intelligence is a multidisciplinary technology that involves an attempt to enable machines to execute reasoning by replicating human intelligence. Meanwhile, machine learning is a subsection of AI by virtue of which systems can automatically learn and improve from experience without being programmed by humans. Lastly, data science is the extraction of relevant insights from data. It uses …
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