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Gradient Descent explained in 5 minutes.
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Gradient Descent is one of the most important concept in machine learning. In this video you will find a simple and pragmatic explanation of this concept in just 5 minutes.
The video begins with basic machine learning concepts like model, features and data. Then it goes on it explain gradient descent using the linear regression model . The cost function(loss function) which measures the inaccuracy of the parameters of the model is also dealt explained.
Finally, it explains how the optimal parameters of a machine learning model is determined using Gradient descent, in which the loss function curve is descended in the direction of greatest descent in order to reach the bottom of the loss function curve, which exactly is the point of optimal parameters that makes the model fit the data perfectly, and predict accurately.
The video begins with basic machine learning concepts like model, features and data. Then it goes on it explain gradient descent using the linear regression model . The cost function(loss function) which measures the inaccuracy of the parameters of the model is also dealt explained.
Finally, it explains how the optimal parameters of a machine learning model is determined using Gradient descent, in which the loss function curve is descended in the direction of greatest descent in order to reach the bottom of the loss function curve, which exactly is the point of optimal parameters that makes the model fit the data perfectly, and predict accurately.
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