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Machine Learning Algorithms: These algorithms can identify patterns in data and make predictions based on historical trends. NaturalLanguageProcessing (NLP): NLP techniques analyse textual data from sources like customer reviews or social media posts to derive sentiment analysis or topic modelling.
Machine Learning Algorithms: These algorithms can identify patterns in data and make predictions based on historical trends. NaturalLanguageProcessing (NLP): NLP techniques analyse textual data from sources like customer reviews or social media posts to derive sentiment analysis or topic modelling.
Root cause analysis is a typical diagnostic analytics task. 3. PredictiveAnalytics Projects: Predictiveanalytics involves using historical data to predict future events or outcomes. These projects predict what is likely to happen and suggest the best course of action to achieve desired results.
A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. According to recent statistics, 56% of healthcare organisations have adopted predictiveanalytics to improve patient outcomes.
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