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Logistic regression : theory.

Working from first principles, Dr. Chirag Shah, PhD, explains the theory of logistic regression to calculate gradient ascent, and how this is used to determine the highest likelihood of a probability.

Bibliographic Details
Other Authors: Shah, Chirag (Speaker)
Format: Video
Language:English
Language Notes:Closed-captions in English.
Published: Somerset : Chirag Shah, 2018.
Series:Machine Learning for Data Science ; 6.
Subjects:
Regression analysis.
Logistic distribution.
Probabilities.
Machine learning.
Algorithms.
Computer algorithms.
Analyse de régression.
Distribution logistique.
Probabilités.
Apprentissage automatique.
Algorithmes.
probability.
algorithms.
Computer algorithms
Algorithms
Logistic distribution
Machine learning
Probabilities
Regression analysis
Online Access:Connect to this streaming video
Description
Summary:Working from first principles, Dr. Chirag Shah, PhD, explains the theory of logistic regression to calculate gradient ascent, and how this is used to determine the highest likelihood of a probability.
Physical Description:1 online resource (1 video file (00:41:46)) : sound, colour.
ISBN:9781526469052
1526469057