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CatBoost VS Open Text Magellan

Compare CatBoost VS Open Text Magellan and see what are their differences

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The only 8-in-1 AI content detector platform in the world. We integrate with leading AI content detectors to give unparalleled confidence that your content appear to be written by a human. featured
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CatBoost logo CatBoost

CatBoost - state-of-the-art open-source gradient boosting library with categorical features support, https://catboost.yandex/ #catboost

Open Text Magellan logo Open Text Magellan

OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.
  • CatBoost Landing page
    Landing page //
    2021-10-16
  • Open Text Magellan Landing page
    Landing page //
    2023-10-07

CatBoost videos

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[Paper Review]Catboost: Unbiased Boosting with Categorical Features

More videos:

  • Review - 04-9: Ensemble Learning - CatBoost (앙상블 기법 - CatBoost)
  • Review - Free Udemy Course - CatBoost vs XGBoost - Classification and Regression Modeling with Python

Open Text Magellan videos

No Open Text Magellan videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to CatBoost and Open Text Magellan)

CatBoost

Open Text Magellan

Data Science Tools
100 100%
Data Science Tools
0% 0
Data Science And Machine Learning
25 25%
Data Science And Machine Learning
75% 75
Business & Commerce
0 0%
Business & Commerce
100% 100
Machine Learning
100 100%
Machine Learning
0% 0

User comments

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Social recommendations and mentions

Based on our record, CatBoost seems to be more popular. It has been mentiond 4 times 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.

CatBoost mentions (4)

  • What's New with AWS: Amazon SageMaker built-in algorithms now provides four new Tabular Data Modeling Algorithms
    CatBoost is another popular and high-performance open-source implementation of the Gradient Boosting Decision Tree (GBDT). To learn how to use this algorithm, please see example notebooks for Classification and Regression. - Source: dev.to / almost 2 years ago
  • Writing the fastest GBDT libary in Rust
    Here are our benchmarks on training time comparing Tangram's Gradient Boosted Decision Tree Library to LightGBM, XGBoost, CatBoost, and sklearn. - Source: dev.to / over 2 years ago
  • Data Science toolset summary from 2021
    Catboost - CatBoost is an open-source software library developed by Yandex. It provides a gradient boosting framework which attempts to solve for Categorical features using a permutation driven alternative compared to the classical algorithm. Link - https://catboost.ai/. - Source: dev.to / over 2 years ago
  • CatBoost Quickstart — ML Classification
    CatBoost is an open source algorithm based on gradient boosted decision trees. It supports numerical, categorical and text features. Check out the docs. - Source: dev.to / about 3 years ago

Open Text Magellan mentions (0)

We have not tracked any mentions of Open Text Magellan yet. Tracking of Open Text Magellan recommendations started around Mar 2021.

What are some alternatives?

When comparing CatBoost and Open Text Magellan, you can also consider the following products

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.

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

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Neuton.AI - No-code artificial intelligence for all

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

Infrrd.ai - Cheaper, Lighter, Faster Enterprise AI platform that makes sense of your image, text and behavioral data to automate decision for cost/man power reduction or revenue increase.

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