As the prevalence of artificial intelligence and our dependence on self-learning systems grows, so does our dependence on machine learning as a concept. For instance, have you ever wondered how Siri could understand an Indian’s English dialect as accurately as an American’s? By leveraging Natural Language Processing, systems are trained to process linguistic, contextual, and emotional inputs and respond in kind while presenting the information we seek.The demand for machine learning is high and will continue to remain so because it is widely used for automating repetitive tasks, analyzing large swaths of unstructured data to augment business intelligence, generating images/text to improve accessibility for the differently abled, and creating accurate predictive models that can be programmed with specific parameters to identify optimal outcomes, enabling businesses to recalibrate their course of action. In short, machine learning is at the intersection of data science, artificial intelligence, and software development, and it will always be in demand.
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