Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Fixed Length Memory Model Exercise So

Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Fixed Length Memory Model Exercise So

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Information Technology (IT), Architecture

University

Hard

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The video tutorial explains the concept of averages, focusing on weighted averages with parameters alpha and beta. It discusses sequence modeling in stock price prediction, emphasizing the use of running averages to incorporate historical data. The importance of hyperparameters in determining the contribution of past and current data is highlighted. The tutorial contrasts classical methods like moving averages with modern approaches such as recurrent neural networks for stock market predictions.

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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