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• Memory Optimization Techniques: Memory optimization techniques refer to the methods and strategies used to reduce the amount of memory required to store and process data in computer systems. These techniques are particularly important in the field of data science and arti ... Read More >>
• Deep Learning: Deep Learning is a subfield of Machine Learning that involves training artificial neural networks with multiple layers to learn and extract complex features from data. It is inspired by the structure and function of the human brain, where e ... Read More >>
• Regression Coefficients: Regression coefficients are the values that represent the relationship between a predictor variable and a response variable in a regression model. These coefficients are estimated using statistical methods such as least squares regression. ... Read More >>