Understanding_the_EM_Algorithm VS rust-data-analysis

Compare Understanding_the_EM_Algorithm vs rust-data-analysis and see what are their differences.

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Understanding_the_EM_Algorithm rust-data-analysis
1 1
7 284
- -
0.0 6.9
about 2 years ago about 1 month ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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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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.
  • [D] My new blog post "Understanding the EM Algorithm"
    1 project | /r/MachineLearning | 30 Oct 2021
    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.

rust-data-analysis

Posts with mentions or reviews of rust-data-analysis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-01.
  • Ask HN: Rust Viable for Data Analytics?
    2 projects | news.ycombinator.com | 1 Feb 2024
    Rust still has some key pieces missing, but looks promising, see: https://github.com/wiseaidev/rust-data-analysis

    F# has a very decent data community: https://datascienceinfsharp.com

    And obviously Julia is also something to consider.

What are some alternatives?

When comparing Understanding_the_EM_Algorithm and rust-data-analysis you can also consider the following projects:

azureml-examples - Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks [Moved to: https://github.com/memgraph/jupyter-memgraph-tutorials]

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

time-series-streaming-analytics-template - Template to quickstart streaming analytics using Apache Kafka for ingestion, QuestDB for time-series storage and analytics, Grafana for near real-time dashboards, and Jupyter Notebook for data science

pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks

data-analytics-project-template - A python project starter template for data-analytics and data-science.

areweguiyet - A website built for the Rust community