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Amazon Machine Learning VS Redox

Compare Amazon Machine Learning VS Redox and see what are their differences

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Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level

Redox logo Redox

Redox provides an EHR integration platform for digital health solutions.
  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13
  • Redox Landing page
    Landing page //
    2023-05-13

Amazon Machine Learning videos

+ Add

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Redox videos

+ Add

Redox Reactions: Crash Course Chemistry #10

More videos:

  • Tutorial - How To Balance Redox Reactions - General Chemistry Practice Test / Exam Review
  • Review - Electrochemistry Review - Cell Potential & Notation, Redox Half Reactions, Nernst Equation

Category Popularity

0-100% (relative to Amazon Machine Learning and Redox)

Amazon Machine Learning

Redox

AI
100 100%
AI
0% 0
Medical Practice Management
0 0%
Medical Practice Management
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Practice Management
0 0%
Practice Management
100% 100

User comments

Share your experience with using Amazon Machine Learning and Redox. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Redox should be more popular than Amazon Machine Learning. It has been mentiond 14 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.

Amazon Machine Learning mentions (2)

  • Rant + Planning to learn full stack development
    There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 1 year ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago

Redox mentions (14)

  • The First Stable Release of a Rust-Rewrite Sudo Implementation
    A Linux distro is going to need to see compiler to self-host regardless of the user land. If you can live without Linux, there's redox ( https://redox-os.org/ ). - Source: Hacker News / 7 months ago
  • Contributing to Open Source
    Redox is always open to contribution. Recently I've been helping with relibc, a mostly Rust libc. Source: about 1 year ago
  • How will HDR be implemented in COSMIC Rust?
    Well, considering the engineering team is managed by the same person that created Redox OS, then yes. I've personally been writing everything in Rust since Rust was still in alpha. Source: over 1 year ago
  • Is Iced replacing GTK apps for the new COSMIC desktop?
    The people bringing you Pop!_OS also created https://redox-os.org, and the whole team writes software in Rust. Source: over 1 year ago
  • Ask HN: What Linux did NOT do right?
    You probably already know this, but "a capability-based microkernel written in Rust" describes RedoxOS. http://redox-os.org/. - Source: Hacker News / over 1 year ago
View more

What are some alternatives?

When comparing Amazon Machine Learning and Redox, you can also consider the following products

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Qvera Interface Engine (QIE) - Qvera's #1 ranked interface engine connects you to the healthcare networks & platforms that unlock your patient data enabling better efficiencies & outcomes

Lobe - Visual tool for building custom deep learning models

Change Healthcare Clinical Network Solutions - Other Health Care

ML5.js - Friendly machine learning for the web

Corepoint Integration Engine - Corepoint Integration Engine provides an enhanced approach to creating interfaces that gives users absolute confidence in connecting to external partners.

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