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BYS
Bayesian Statistics
Bayesian Statistics is the study of probabilistic methods that update beliefs based on new evidence using Bayes' theorem. It explores prior and posterior distributions, Bayesian inference, and applications in decision-making and machine learning
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DDA
Distributed Data Analysis
Distributed Data Analysis is the study of techniques for processing and analyzing large datasets across multiple machines or systems. It explores parallel computing, distributed databases, and frameworks like Hadoop and Spark
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SDA
Social Data Analysis
Social Data Analysis is the study of techniques for collecting, processing, and interpreting data from social interactions, networks, and behaviors. It explores methods such as sentiment analysis, network analysis, and trend detection
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STP
Stream Processing
Stream Processing is the study of real-time data processing techniques that analyze and act on continuous data streams. It explores frameworks like Apache Kafka, Apache Flink, and Spark Streaming, focusing on low-latency computations, event-driven architectures, and fault tolerance.