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Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. BigData Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud.
Additionally, students should grasp the significance of BigData in various sectors, including healthcare, finance, retail, and social media. Understanding the implications of BigDataanalytics on business strategies and decision-making processes is also vital.
The programming language can handle BigData and perform effective data analysis and statistical modelling. Hence, you can use R for classification, clustering, statistical tests and linear and non-linear modelling. How is R Used in Data Science?
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