Software Alternatives & Reviews

XGBoost VS Infrrd.ai

Compare XGBoost VS Infrrd.ai and see what are their differences

XGBoost logo XGBoost

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

Infrrd.ai logo 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.
  • XGBoost Landing page
    Landing page //
    2023-07-30
  • Infrrd.ai Landing page
    Landing page //
    2022-11-06

Infrrd is a leading automated data extraction & image recognition company that uses machine Intelligence and AI to solve analytics and automation related problems for their customers. Their pre-packaged, ready to use AI solutions provide companies a headstart at solving AI challenges.

Infrrd's high accuracy document digitizing and automated data capturing OCR solutions improve cost efficiencies in the business environment, reducing the need for manual document sorting and manual data entry. Infrrd's OCR & image recognition solutions have been providing substantial returns on the original investment by different industries like retail, finance, vendor management systems, back office & BPOs etc. The machine learning algorithms learn intuitively and scan images invoices, receipts, business documents and handwritten documents with ease.

XGBoost videos

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

Infrrd.ai videos

No Infrrd.ai videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to XGBoost and Infrrd.ai)
Data Science And Machine Learning
Business & Commerce
32 32%
68% 68
Online Services
32 32%
68% 68
Data Science Tools
100 100%
0% 0

User comments

Share your experience with using XGBoost and Infrrd.ai. For example, how are they different and which one is better?
Log in or Post with

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

Infrrd.ai mentions (0)

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

What are some alternatives?

When comparing XGBoost and Infrrd.ai, 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.

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

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.

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

Neuton.AI - No-code artificial intelligence for all

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.