Why Linear regression for Machine Learning?
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In the world of Artificial Intelligence, Large Language Models [LLMs] and chatbots may have the current spotlight and global attention, but for supervised learning, coders should not forget about lower compute methods for prediction. Linear Regression is a great tool for some Machine Learning tasks. In this video, IBM AI Engineer, Diarra Bell, summarizes linear regression and where it has predictive potential.
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Пікірлер: 18
So proud of you Diarra!
Great video. Clear explanation and good example. Thanks.
these are a fantastic set of videos simplifying complex topics at a time when we need it most. Congrats to whoever came up with the concept, the setting, the choice of presenters. I'd like to work with them, it seems like it would be fun....this is my fav so far :)
Beautifully explained. You did a great job!
Really nice video. Thank you.
Great video! Liked the last line about “outliers” and how you emphasized that the line does not have to pass around it because it is an outlier! But identifying all those outliers in the data set may be a challenge? Waiting for another great video on how to identify just those?! Thank you 🙏🏼
@karmeshmeartia3784
5 ай бұрын
can simply use box plot with the help of matplotlib to identigy all the outliers
Clear and simple I love it
Thanks, sweet and simple.
Good work ベルさん
Good video!
Than you for this
Just fantastic ❤
Excellent!
@Diarra Bell, have you been looking everything and reading from somewhere or are you trying to explain it in fundamental way for audiences to understand the concepts of label and unlabelled data?? I don’t get
next time do the graph from right to left so when the image is reversed it is displayed from left to right
🙏
❤️