Search result for Mixture models Online Courses & Certifications
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Bayesian Statistics: Mixture Models
by Abel Rodriguez- 4.7
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Approx. 22 hours to complete
Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. Definition of Mixture Models Likelihood function for mixture models Maximum likelihood estimation for Mixture Models Bayesian estimation for Mixture Models Applications of Mixture Models Density estimation using Mixture Models Mixture Models for Clustering Mixture Models and naive Bayes classifiers...
Bayesian Statistics: Techniques and Models
by Matthew HeinerTop Instructor- 4.8
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Approx. 30 hours to complete
Real-world data often require more sophisticated models to reach realistic conclusions. We will learn how to construct, fit, assess, and compare Bayesian statistical models to answer scientific questions involving continuous, binary, and count data. Components of Bayesian models Non-conjugate models Common statistical models Alternative models Common models and multiple factor ANOVA Predictive distributions and mixture models...
Machine Learning
by John W. Paisley- 0.0
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12 Weeks
Methods include: linear and logistic regression, support vector machines, tree classifiers, boosting, maximum likelihood and MAP inference, EM algorithm, hidden Markov models, Kalman filters, k-means, Gaussian mixture models, among others. We will cover three fundamental problems of unsupervised learning: data clustering, matrix factorization, and sequential models for order-dependent data. Some applications of these models include object recommendation and topic modeling....
$249
Text Mining and Analytics
by ChengXiang Zhai- 4.5
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Approx. 33 hours to complete
7 Topic Mining and Analysis: Probabilistic Topic Models 1 Probabilistic Topic Models: Mixture of Unigram Language Models 2 Probabilistic Topic Models: Mixture Model Estimation: Part 1 3 Probabilistic Topic Models: Mixture Model Estimation: Part 2 2 Text Clustering: Generative Probabilistic Models Part 1 3 Text Clustering: Generative Probabilistic Models Part 2 9 Text Categorization: Generative Probabilistic Models...
Market Segmentation Analysis
by Sara Dolnicar , Bettina Grün , Friedrich Leisch- 0.0
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5 Weeks
In this course, we will explore how to leverage statistical concepts into the organisation's segmentation strategy, such as the hierarchical clustering and partitioning methods, exploratory data analysis, biclustering, mixture models, and regression models....
$99
Machine Learning: Clustering & Retrieval
by Emily Fox , Carlos Guestrin- 4.6
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Approx. 17 hours to complete
-Fit a mixture of Gaussian model using expectation maximization (EM). Mixture Models Motiving probabilistic clustering models Mixture of Gaussians Interpreting the mixture of Gaussian terms Mixed membership models for documents Hidden Markov models...
Response Surfaces, Mixtures, and Model Building
by Douglas C. Montgomery- 4.7
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Approx. 13 hours to complete
Unit 2: Regression Models Linear Regression Models Second-Order Models in RSM Experiments with Computer Models Mixture Experiments Conduct experiments w/computer models and understand how least squares regression is used to build an empirical model from experimental design data Recognize how the response surface approach can be used for experiments where the factors are the components of a mixture...
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Cluster Analysis and Unsupervised Machine Learning in Python
by Lazy Programmer Team- 4.6
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8 hours on-demand video
Next, because in machine learning we like to talk about probability distributions, we’ll go into Gaussian mixture models and kernel density estimation, where we talk about how to "learn" the probability distribution of a set of data. Understand the Gaussian mixture model and how to use it for density estimation...
$29.99
Mastering Qt 5 GUI Programming
by Packt Publishing- 4.4
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3.5 hours on-demand video
Benjamin Hoff is a Mechanical Engineer by education, he has spent the first 3 years of his career doing graphics processing, desktop application development, and facility simulation using a mixture of C++ and python under the tutelage of a professional programmer....
$14.99
Bayesian Methods for Machine Learning
by Daniil Polykovskiy , Alexander Novikov- 4.5
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Approx. 33 hours to complete
When applied to deep learning, Bayesian methods allow you to compress your models a hundred folds, and automatically tune hyperparameters, saving your time and money. Latent Variable Models Gaussian Mixture Model Latent Variable Models and EM algorithm Using CNNs with a mixture of Gaussians...
