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XGBoost VS MXNet

Compare XGBoost VS MXNet and see what are their differences

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XGBoost logo XGBoost

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

MXNet logo MXNet

MXNet is a deep learning framework.
  • XGBoost Landing page
    Landing page //
    2023-07-30
  • MXNet Landing page
    Landing page //
    2022-07-25

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

MXNet videos

+ Add

Apache MXNet 2.0: Bridging Deep Learning and Machine Learning

More videos:

  • Review - MXNet Introduction: MXNet Vancouver Meetup
  • Review - Extending Apache MXNet for new features and performance

Category Popularity

0-100% (relative to XGBoost and MXNet)

XGBoost

MXNet

Data Science And Machine Learning
56 56%
Data Science And Machine Learning
44% 44
Business & Commerce
58 58%
Business & Commerce
42% 42
Machine Learning
0 0%
Machine Learning
100% 100
Online Services
58 58%
Online Services
42% 42

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.

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: almost 2 years ago

MXNet mentions (0)

We have not tracked any mentions of MXNet yet. Tracking of MXNet recommendations started around Mar 2021.

What are some alternatives?

When comparing XGBoost and MXNet, 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.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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

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

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.

BAAR - BAAR is a Business Workflow Automation platform to help you automate digital security.

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