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• Trend Analysis: Trend analysis is the process of analyzing data over time to identify any consistent patterns or trends. In data science, trend analysis is used to identify trends in large datasets, which can help businesses and organizations make informed ... Read More >>
• Deep Reinforcement Learning: Deep Reinforcement Learning is a subfield of Artificial Intelligence and Machine Learning that involves training an agent to make decisions in an environment by maximizing a reward signal. It combines Reinforcement Learning, which is a type ... Read More >>
• Eigenvectors: In linear algebra, eigenvectors are the non-zero vectors that only change by a scalar factor when a linear transformation is applied to them. In data science, eigenvectors are used in principal component analysis (PCA) to reduce the dimensi ... Read More >>