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XGBoost VS ATLAS.ti

Compare XGBoost VS ATLAS.ti and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

XGBoost logo XGBoost

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

ATLAS.ti logo ATLAS.ti

ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.
  • XGBoost Landing page
    Landing page //
    2023-07-30
  • ATLAS.ti Landing page
    Landing page //
    2022-11-04

XGBoost videos

+ Add

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

ATLAS.ti videos

+ Add

Literature Review with ATLAS.ti 8 Windows and Mac (Jan. 25th, 2018)

More videos:

  • Review - Overview of ATLAS.ti 8 Windows April 10th, 2018
  • Review - Literature Review and Qualitative Data Analysis Using Atlas.ti by Muhammad Farooq Buzdar

Category Popularity

0-100% (relative to XGBoost and ATLAS.ti)

XGBoost

ATLAS.ti

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Text Analytics
0 0%
Text Analytics
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Market Research
0 0%
Market Research
100% 100

User comments

Share your experience with using XGBoost and ATLAS.ti. For example, how are they different and which one is better?
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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

ATLAS.ti mentions (0)

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

What are some alternatives?

When comparing XGBoost and ATLAS.ti, 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.

MAXQDA - a professional software for qualitative and mixed methods data analysis

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

NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs. 

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

QualCoder - A very complete Free and Open Source Software (FOSS) Computer-Assisted Qualitative Data Analysis Software (CAQDAS) written in Python. It works with text, images, and multimedia such as audios and videos.

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