Software Alternatives, Accelerators & Startups

SemanticScholar VS Amazon Machine Learning

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

SemanticScholar logo SemanticScholar

An academic search engine that utilizes artificial intelligence methods to provide highly relevant results and novel tools to filter them with ease.

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • SemanticScholar Landing page
    Landing page //
    2023-10-14
  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

SemanticScholar videos

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

+ Add video

Amazon Machine Learning videos

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

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

Category Popularity

0-100% (relative to SemanticScholar and Amazon Machine Learning)
Research Tools
100 100%
0% 0
AI
0 0%
100% 100
Information Organization
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

Share your experience with using SemanticScholar and Amazon Machine Learning. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, SemanticScholar should be more popular than Amazon Machine Learning. It has been mentiond 3 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.

SemanticScholar mentions (3)

  • AI tools for literature review
    Hi everyone, I have been playing with a few new AI tools for literature reviews that you might like: - Seamless https://seaml.es/ - Semantic Scholar https://semanticscholar.org - Epsilon https://epsilon.ai/ I hope you find them useful. Source: 6 months ago
  • Is there a SciHub of Databases?
    I rely mostly on Microsoft Academic Search. I find an article I need and then usually Google the exact title followed by filetype:pdf. For example: "Toward creating a fairer ranking in search engine results" filetype:pdf. Other services that are helpful from a discovery standpoint include ResearchGate, Academia.edu, and semanticscholar.org. Source: almost 3 years ago
  • [N] Semantic Scholar introduces Semantic Reader, An AI-Powered Augmented Scientific Reading Application
    Hello! Check out our Research Feeds beta on semanticscholar.org, based in part on the arxiv-sanity.com work. From any paper you can select "Research Feed" to start a feed. Source: about 3 years ago

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: almost 2 years 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: over 3 years ago

What are some alternatives?

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

Google Scholar - Google Scholar is a freely accessible web search engine that indexes the full text of scholarly...

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

ResearchGate - Access scientific knowledge, and make your research visible

Lobe - Visual tool for building custom deep learning models

Scopus - Scopus is a bibliographic database containing abstracts and citations for academic journal articles.

Apple Machine Learning Journal - A blog written by Apple engineers