Archbee.io
ReadMe
Slite
GitBook
Gyde AI Screenshot Guidance Platform
Docusaurus
ScribeHow
Google Docs
Amazon Machine Learning
Machine Learning Playground
Apple Machine Learning Journal
Lobe
ML5.js
TensorFlow
Google Cloud Machine Learning
Azure Machine Learning Service
Write in a blazingly fast WYSIWYG editor with 30+ custom blocks and native markdown to create built-in diagrams, API docs, Swagger, GraphQL. Check the out of the box integrations with Github, Slack, Lucidchart, Airtable, Google Sheets, Typeform, Jira, or Figma. Inline comments for async collaboration and to enhance team performance or minimize knowledge churn are supported by Archbee's collaborative features.
Archbee.io Amazon Machine LearningBased on our record, Archbee.io seems to be a lot more popular than Amazon Machine Learning. While we know about 21 links to Archbee.io, we've tracked only 2 mentions of Amazon Machine Learning. 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.
If you have a tech business, you should look into an internal knowledge base that is aligned with developers. archbee.com is similar to document360, but with features that are relevant to write developer documentation, APIs etc. Source: almost 3 years ago
But if you want something similar with your example, check archbee.com, it has integration with GraphiQL. Source: almost 3 years ago
If you want to get a tool and don't need to start building your own setup I would recommend looking into some documentation platforms like archbee.io. Source: almost 3 years ago
If you want to go with a SaaS, I'd say to check archbee.io - because you can do end user guides and developer documentation... Source: almost 3 years ago
It's hard to enforce developers to update documentation. Ideally, you should have somebody responsible to do it. As for the documentation stack, archbee.io for both internal and external. A good alternative to Notion since it supports markdown, code blocks with more options and API references. Source: almost 3 years ago
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 2 years ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 4 years ago
ReadMe - A collaborative developer hub for your API or code.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Slite - Your company knowledge
Apple Machine Learning Journal - A blog written by Apple engineers
GitBook - Modern Publishing, Simply taking your books from ideas to finished, polished books.
Lobe - Visual tool for building custom deep learning models