This post is downright bonkers. “We don’t need ML/AI! Proof: list of things you wouldn’t use ML for”
There are so many problems you can solve with a neural network. Should Waymo ETL sensor data and do a WHERE NOT IN for bicyclists?
This is blog post is pretty dismissive. Statistics software has been in use since the beginning; see SAS. Financial institutions, actuaries, etc, have been using these methods with SQL data as the input and it’s the only reason they’re still in business.
If this blog post simply suggested hiring a BI Analyst in your startup, I wouldn’t disagree.
Comments
This post is downright bonkers. “We don’t need ML/AI! Proof: list of things you wouldn’t use ML for”
There are so many problems you can solve with a neural network. Should Waymo ETL sensor data and do a WHERE NOT IN for bicyclists?
This is blog post is pretty dismissive. Statistics software has been in use since the beginning; see SAS. Financial institutions, actuaries, etc, have been using these methods with SQL data as the input and it’s the only reason they’re still in business.
If this blog post simply suggested hiring a BI Analyst in your startup, I wouldn’t disagree.