XGBoost
Scikit-learn
Google Cloud TPU
Kira
TensorFlow
machine-learning in Python
MLKit
BAAR
Open Text Magellan
BAAR
Neuton.AI
Infrrd.ai
Equally AI
Veritone Automate Studio
Kira
Zero Incident Framework
XGBoost| Categories |
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| Website | github.com |
| Details $ |
Open Text Magellan| Categories |
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| Website | opentext.com |
| Details $ | - |
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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.
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
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
BAAR - BAAR is a Business Workflow Automation platform to help you automate digital security.
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.
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.
