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BigML VS AWS SageMaker Ground Truth

Compare BigML VS AWS SageMaker Ground Truth and see what are their differences

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BigML logo BigML

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

AWS SageMaker Ground Truth logo AWS SageMaker Ground Truth

Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.
  • BigML Landing page
    Landing page //
    2022-10-08
  • AWS SageMaker Ground Truth Landing page
    Landing page //
    2023-04-14

BigML videos

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BigML is Machine Learning for Everyone

More videos:

  • Review - BigML Spring 2016 Webinar - WhizzML!

AWS SageMaker Ground Truth videos

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Category Popularity

0-100% (relative to BigML and AWS SageMaker Ground Truth)

BigML

AWS SageMaker Ground Truth

Data Science And Machine Learning
41 41%
Data Science And Machine Learning
59% 59
Data Science Tools
100 100%
Data Science Tools
0% 0
Data Labeling
0 0%
Data Labeling
100% 100
Technical Computing
100 100%
Technical Computing
0% 0

User comments

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Social recommendations and mentions

Based on our record, AWS SageMaker Ground Truth should be more popular than BigML. 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.

BigML mentions (2)

  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Bigml.com — Hosted machine learning algorithms. Unlimited free tasks for development, limit of 16 MB data/task. - Source: dev.to / over 2 years ago
  • Theory: The price action was intentionally manipulated to prevent any AI from being able to predict it. First time this model shows as flat. Forever.
    They know the website is bigml.com it's possible they have many magnitudes better algorithms to predict this shit. And it's also possible they paid some quants to come up with price action that just completely fucks with BigML's algorithm entirely to make it look flat. Source: almost 3 years ago

AWS SageMaker Ground Truth mentions (3)

  • [D] What are people using to organize large groups of people for data labelling?
    Perhaps https://aws.amazon.com/sagemaker/data-labeling/ ? Source: almost 2 years ago
  • Top 5 AWS ML Sessions to Attend at AWS re:Invent 2021
    In this session you will discover how to use Amazon SageMaker to prepare data for machine learning in minutes. SageMaker provides data preparation tools that make it easier to label, prepare, and analyse your data. Walk through a complete data-preparation workflow, including how to use SageMaker Ground Truth to label training datasets, as well as how to extract data from numerous data sources, convert it using... - Source: dev.to / over 2 years ago
  • Blocked by MLData…it was only a matter of time
    As for who run MLD I guess It’s Amazon itself, have a look at this https://aws.amazon.com/sagemaker/groundtruth/. I speculate that multiple companies use this resource and they are the one responsible to upload the correct instructions, Amazon just redirect the labeling job for us using and requester account in mTurk, that explains why the communication is unacceptable with this requester. Source: over 2 years ago

What are some alternatives?

When comparing BigML and AWS SageMaker Ground Truth, you can also consider the following products

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Computer Vision Annotation Tool (CVAT) - Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Labelbox - Build computer vision products for the real world

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

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