Hey! I just found your channel and subscribed, love what you're doing! Particularly, I like how clear and detailed your explanations are as well as the depth of knowledge you have surrounding the topic! Since I run a tech education channel as well, I love to see fellow Content Creators sharing, educating, and inspiring a large global audience. I wish you the best of luck on your RUclips Journey, can't wait to see you succeed! Cheers, happy holidays, and keep up the great work :)
Not so easy, okay let's assume the race aspect was removed completely and the system was to make a prediction based on a large sample from a given location. Now, let's say this system determined that said that individuals from said given location were more likely to reoffend. This would also pose an unintentional bias because not every person in said location is the same
"Learning new things is hard."
Damn straight, lady. Damn straight.
Hey! I just found your channel and subscribed, love what you're doing! Particularly, I like how clear and detailed your explanations are as well as the depth of knowledge you have surrounding the topic! Since I run a tech education channel as well, I love to see fellow Content Creators sharing, educating, and inspiring a large global audience. I wish you the best of luck on your RUclips Journey, can't wait to see you succeed! Cheers, happy holidays, and keep up the great work :)
Anyone else here because of a data assignment in school?
Here because of "Telling stories with data"
This was amazing!!! Thank you!
谢谢
this is amazing! Thank you
Well said, so very real
Thank you
nice video
Greatly explained
Well done! Love the breadth and clarity.
So take the race variable out of the model, then.
Not so easy, okay let's assume the race aspect was removed completely and the system was to make a prediction based on a large sample from a given location. Now, let's say this system determined that said that individuals from said given location were more likely to reoffend. This would also pose an unintentional bias because not every person in said location is the same