IBM Watson Machine Learning:IBM Watson Machine Learning helps data scientists and developers accelerate AI and machine-learning deployment . With its open, extensible model operation, Watson Machine Learning helps businesses simplify and harness AI at scale across any cloud.
Using IBM Watson Machine Learning, you can build analytical models and neural networks, trained with your own data, that you can deploy for use in applications.
Watson Machine Learning provides a full range of tools and services so you can build, train, and deploy Machine Learning models. Choose from tools that fully automate the training process for rapid prototyping to tools that give you complete control to create a model that matches your needs.
IBM Watson Studio
Simplify and scale data science to predict and optimize your business outcomes
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yassine zayani
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Original Message:
Sent: Fri February 07, 2020 02:55 AM
From: Viktor Kaznovsky
Subject: Watson Studio VS Watson Machine Learning
Hello
in very brief words, WS is an/the IDE for Machine Learning/AI projects/experiments where models are created, whereas WML is the tool for the ML lifecycle management.
The two are working harmoniously/seamlessly in IBM Cloud: https://cloud.ibm.com/login
Here are some links:
https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/ml-overview.html
https://medium.com/ibm-watson/introducing-ibm-watson-studio-and-ibm-watson-machine-learning-2-0-4fbdb9a3b4dc
https://developer.ibm.com/recipes/tutorials/machine-learning-and-ibm-watson-studio/
Then there is also Watson Machine Learning Accelerator
https://www.ibm.com/us-en/marketplace/deep-learning-platform
and Watson Openscale
https://www.ibm.com/cloud/watson-openscale
that are related.
And also:
Model Asset Exchange
https://developer.ibm.com/exchanges/models/
Aif360
https://aif360.mybluemix.net/
etc.
Hope this helps.
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Viktor Kaznovsky
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