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Microsoft Machine Learning Server VS XGBoost

Compare Microsoft Machine Learning Server VS XGBoost and see what are their differences

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Contents:
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  2. » Videos
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Microsoft Machine Learning Server logo Microsoft Machine Learning Server

Develop machine learning models and scripts in Python and R for on-premises deployment behind the firewall. R Server, Python server, packages, and interpreters are included.

XGBoost logo XGBoost

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.
  • Microsoft Machine Learning Server Landing page
    Landing page //
    2023-02-12
  • XGBoost Landing page
    Landing page //
    2023-07-30

Microsoft Machine Learning Server videos

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XGBoost videos

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XGBoost Part 3: Mathematical Details

More videos:

  • Review - XGBoost A Scalable Tree Boosting System June 02, 2016
  • Review - Free Udemy Course - CatBoost vs XGBoost - Classification and Regression Modeling with Python

Category Popularity

0-100% (relative to Microsoft Machine Learning Server and XGBoost)

Microsoft Machine Learning Server

XGBoost

Data Dashboard
100 100%
Data Dashboard
0% 0
Data Science And Machine Learning
26 26%
Data Science And Machine Learning
74% 74
Business & Commerce
0 0%
Business & Commerce
100% 100
Technical Computing
100 100%
Technical Computing
0% 0

User comments

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Social recommendations and mentions

Based on our record, XGBoost seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Microsoft Machine Learning Server mentions (0)

We have not tracked any mentions of Microsoft Machine Learning Server yet. Tracking of Microsoft Machine Learning Server recommendations started around Mar 2021.

XGBoost mentions (1)

  • CS Internship Questions
    By the way, most of the time XGBoost works just as well for projects, would not recommend applying deep learning to every single problem you come across, it's something Stanford CS really likes to showcase when it's well known (1) that sometimes "smaller"/less complex models can perform just as well or have their own interpretive advantages and (2) it is well known within ML and DS communities that deep learning... Source: about 2 years ago

What are some alternatives?

When comparing Microsoft Machine Learning Server and XGBoost, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

Amazon Forecast - Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

Kira - Gain visibility into contract repositories, accelerate and improve the accuracy of contract review, mitigate risk of errors, win new business, and improve the value you provide to your clients.

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