Understanding_the_EM_Algorithm
Codes for my blog post "Understanding the EM Algorithm" https://mistylight.github.io/posts/20115/ (by mistylight)
azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions. (by Azure)
| Understanding_the_EM_Algorithm | azureml-examples | |
|---|---|---|
| 1 | 4 | |
| 7 | 1,573 | |
| - | 3.1% | |
| 0.0 | 9.6 | |
| about 2 years ago | 2 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Understanding_the_EM_Algorithm
Posts with mentions or reviews of Understanding_the_EM_Algorithm.
We have used some of these posts to build our list of alternatives
and similar projects.
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[D] My new blog post "Understanding the EM Algorithm"
The EM algorithm is very straightforward to understand with one or two proof-of-concept examples. However, if you really want to understand how it works, it may take a while to walk through the math. The purpose of this article is to establish a good intuition for you, while also provide the mathematical proofs for interested readers. The codes for all the examples mentioned in this article can be found at https://github.com/mistylight/Understanding_the_EM_Algorithm.
azureml-examples
Posts with mentions or reviews of azureml-examples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-29.
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How to deploy ML models on Azure Kubernetes Service (AKS)
If you need a reference on how these files should look, you can get a dummy model, env and scoring script here. Optionally, you can also check out my GitHub for the code used to deploy via the Python SDK v2.
- Best way to run my Python project on Azure
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How to get around "package ‘AzureML’ is not available (for R version 4.0.2) "
It seems like there's a new paradigm for R on Azure that uses Docker and job.yml to tell R how to execute your "vanilla" R code without the need for a package. There are examples here: https://github.com/Azure/azureml-examples/tree/0849cbe797d1d524df9fe9d43ac8b36e75ea34ab/cli/jobs/train/r
- Machine learning in Azure
What are some alternatives?
When comparing Understanding_the_EM_Algorithm and azureml-examples you can also consider the following projects:
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
pycaret - An open-source, low-code machine learning library in Python
nlpaug - Data augmentation for NLP
MachineLearningNotebooks - Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
pedestrian-intent-prediction - Repository for master thesis at the Chalmers University of Technology