Does data preprocessing methods (discussed in the lectures) help in speeding up the gradient descent algorithm
Answers
yes they help in processing data on very different methods which help in speeding up the gradient descent algorithm
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Answer:
Yes, by making fewer iterations(Data preprocessing) to get a good solution. Data preprocessing methods helps in speeding up the gradient descent algorithm.
Explanation:
Descent Algorithm is one of the common optimization algorithms for finding the minimum of a function(f) which is mainly used in deep learning and machine learning. In machine learning optimization is an important concept almost every algorithm has an Optimization.
The collected data has to process, the processing is done using machine learning algorithms, though the process may vary depending on the source of data.
"Data preprocessing" is a method that is managed to transform the "raw data into a clean data set". The collected data from various source which is in a raw format which is not possible to analyze. By using the data preprocessing method we can speedup the gradient decent algorithm.