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Expectation-maximization (EM) : theory.
- Format:
- Video
- Series:
- Sage research methods.
- Machine Learning for Data Science ; 18.
- Machine Learning for Data Science ; 18
- Language:
- English
- Subjects (All):
- Expectation-maximization algorithms.
- Estimation theory.
- Computer science--Mathematics.
- Computer science.
- Physical Description:
- 1 online resource (1 video file (01:06:05)) : sound, colour.
- Place of Publication:
- Somerset : Chirag Shah, 2018.
- Language Note:
- Closed-captions in English.
- Summary:
- Dr. Chirag Shah, PhD, explains how to mathematically calculate the expectant maximization and the maximum likelihood estimation of parameters for data of unknown organization. An overview of the types of distribution is provided and data with a Bernoulli distribution is used to illustrate a maximum likelihood estimation.
- Participant:
- Academic, Chirag Shah PhD.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526469038 (streaming video) :
- OCLC:
- 1091278471
- Access Restriction:
- Restricted for use by site license.
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