Software Alternatives & Reviews

Google CLOUD AUTOML VS Amazon Machine Learning

Compare Google CLOUD AUTOML VS Amazon Machine Learning and see what are their differences

Google CLOUD AUTOML logo Google CLOUD AUTOML

Train custom ML models with minimum effort and expertise

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • Google CLOUD AUTOML Landing page
    Landing page //
    2023-07-30
  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

Google CLOUD AUTOML videos

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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 Google CLOUD AUTOML and Amazon Machine Learning)
Data Science And Machine Learning
AI
14 14%
86% 86
Developer Tools
16 16%
84% 84
Technical Computing
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Google CLOUD AUTOML should be more popular than Amazon Machine Learning. It has been mentiond 6 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.

Google CLOUD AUTOML mentions (6)

  • Is there going to be engines dedicated to creating AI?
    There are several no-code AI websites that you can use like Amazon SageMaker, Apple CreateML or Google AutoML. Source: about 1 year ago
  • How AWS and GCP Compare: The Top 5 Differences
    GCP, on the other hand, offers two top options: Google Cloud AutoML, for beginners, and Google Cloud Machine Learning Engine, for handling tasking projects. GCP also provides Tenserflow and Vertex AI complicated machine learning abilities. - Source: dev.to / over 1 year ago
  • Discussion Thread
    Just outsource the work to Google or Amazon. Source: over 2 years ago
  • Is GitHub Copilot a Threat to Developers? (Spoiler: It’s Not
    We can also note the appearance of Machine Learning, creating dynamic processes over data that would have been tedious to analyse, either by hand or through specific code. This enables writing potentially complex behaviours with a few lines of code in some cases. Even then, there is some automation of it to the point where you only have to provide data to get working results. - Source: dev.to / almost 3 years ago
  • Are there any ready-to-use image AI programs for dummies?
    You might want to check out automl Google AutoML. Source: almost 3 years ago
View more

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

What are some alternatives?

When comparing Google CLOUD AUTOML and Amazon Machine Learning, you can also consider the following products

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

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

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

Lobe - Visual tool for building custom deep learning models

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.

Apple Machine Learning Journal - A blog written by Apple engineers