The Sigmoid Function Clearly Explained
6:57
YouTubePower H
The Sigmoid Function Clearly Explained
In this video we discuss the sigmoid function. The sigmoid function plays an important role in the field of machine learning and is considered as one of the most widely used so-called activation functions. More specifically, in the context of logistic regression, the sigmoid is used to predict the outcome of binary classification problems. # ...
143,5mii vizualizări19 iun. 2020
Sigmoid Function Explained
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Logistic Regression Simple Explained : The whole magic is under the hood i.e., sigmoid function σ(z)=1/ 1 e−z1 ✨ It is an algorithm and statistical method used in machine learning for binary classification tasks, where the goal is to predict one of two possible outcomes (for example, yes or no) Logistic regression outputs probabilities that a certain event will occur, using the logistic function to transform the linear output of a model into a probability value from 0 to 1. It's used mainly for
Logistic Regression Simple Explained : The whole magic is under the hood i.e., sigmoid function σ(z)=1/ 1 e−z1 ✨ It is an algorithm and statistical method used in machine learning for binary classification tasks, where the goal is to predict one of two possible outcomes (for example, yes or no) Logistic regression outputs probabilities that a certain event will occur, using the logistic function to transform the linear output of a model into a probability value from 0 to 1. It's used mainly for
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