Forum Discussion
How to explain on what AI / ML can do?
- 3 years ago
oem7110 , You can consume the Azure model
https://learn.microsoft.com/en-us/power-bi/connect-data/service-aml-integrate
Python- https://www.datacamp.com/tutorial/running-python-scripts-in-power-bi-tutorial
Usually, both Machine learning and deep learning are Supervised - which means the data we train has the result/outcome with it. And Unsupervised - This means there is no reference result/outcome.
Then we have a mix - Semi-Supervised. And reinforcement learning when the algorithm learns with each new input.
Linear regression, Logistic regression, etc are supervised ML. Because you have the end results with data.
https://www.ibm.com/in-en/cloud/learn/machine-learning
"There's a large misconception that you can just throw your data into a product and get some beautiful insights out of it."
How to explain clients about this misconception?
Do you have any suggestions?
Thank you very much for any suggestions (^v^)