Software Alternatives, Accelerators & Startups

MLJAR VS A.I. Experiments by Google

Compare MLJAR VS A.I. Experiments by Google and see what are their differences

MLJAR logo MLJAR

MLJAR is a predictive analytics platform that facilitates machine learning algorithms search and tuning.

A.I. Experiments by Google logo A.I. Experiments by Google

Explore machine learning by playing w/ pics, music, and more
  • MLJAR Landing page
    Landing page //
    2023-06-14
  • A.I. Experiments by Google Landing page
    Landing page //
    2023-09-22

Category Popularity

0-100% (relative to MLJAR and A.I. Experiments by Google)
Data Science And Machine Learning
AI
10 10%
90% 90
Data Science Tools
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, A.I. Experiments by Google should be more popular than MLJAR. It has been mentiond 5 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.

MLJAR mentions (3)

  • [P] Build data web apps in Jupyter Notebook with Python only
    Sure, at the bottom of our website you can subscribe for newsletter. Source: over 1 year ago
  • Data Science and full-stack-web development
    In my case, I had experience in DS and software engineering. It gives me ability to start a company that works on Data Science tools. Source: about 2 years ago
  • [D] Bring your own data AI SaaS service for non-programmers?
    Instead, we started to work on desktop application that will allow to create python notebooks with no-code GUI (https://github.com/mljar/studio some screenshots on our website ). Source: over 2 years ago

A.I. Experiments by Google mentions (5)

  • I asked an A.I. language model to write a conversation between two stoners after smoking DMT
    Try this: https://experiments.withgoogle.com/collection/ai. Source: over 1 year ago
  • Google Says AI Generated Content Is Against Guidelines
    But Google has a whole set of AI writing tools - https://experiments.withgoogle.com/collection/ai So by their own definition they are producing spam? - Source: Hacker News / about 2 years ago
  • [D] Do you know any tools (libraries/frameworks) that are intuitive enough for teenagers for a practical introduction to AI?
    Https://experiments.withgoogle.com/collection/ai might also help (I haven't used this IRL). Source: over 2 years ago
  • "RTX ON" ruined public perception of the biggest gaming advancement in a decade
    It's hard to imagine you've not seen Google's doodle guessing training (or their other experiments) but it's just another example of how little information you actually need to create a recognizable image, though Canvas also shows this off, but it has the benefit of material information. Source: over 2 years ago
  • [D] Researching with no affiliations to any Universities/Academic organizations?
    To come back to your original question, as far as I'm aware anyone can publish on arxiv or researchgate. People will just tend to take you less serious. Maybe a better solution for you is something like this https://experiments.withgoogle.com/collection/ai . You already said you think your idea might be industry changing so if it truly is, I'm sure people will start noticing you. Source: about 3 years ago

What are some alternatives?

When comparing MLJAR and A.I. Experiments by Google, you can also consider the following products

Google Cloud Machine Learning - Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

Facebook.ai - Everything you need to take AI from research to production

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Talk to Books by Google - Browse passages from books using experimental AI

Teachable Machine - Easily create machine learning models for your apps, no coding required.

Lobe - Visual tool for building custom deep learning models