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zakruti.com » Knowledge, science, education » Crash Course
Supervised Machine Learning: Crash Course Statistics #36

Supervised Machine Learning: Crash Course Statistics #36

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Rating: 4.0; Vote: 1
We've talked a lot about modeling data and making inferences about it, but today we're going to look towards the future at how machine learning is being used to build models to predict future outcomes. We'll discuss three popular types of supervised machine learning models: Logistic Regression, Linear discriminant Analysis (or LDA) and K Nearest Neighbors (or KNN. For a broader overview of machine learning, check out our episode in Crash Course Computer Science!
Date: 2022-04-04

Comments and reviews: 5


So the University that I go to, taught me all these things, but not the application or categorize where I use it in different industries, so I didn't even know I could do Machine learning till today. Which is frustrating because if an employer asked me if I could do ML, I would have said no because I actually didn't know that I could do it.
It's sad, and I'm thinking of all my lost classmates who when we enter the working world won't be able to apply a lot of the practical stuff to make it work for their business

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-At the end of the day it-s not about what you have or even what you-ve accomplished- it-s about who you-ve lifted up, who you-ve made better, it-s about what you-ve given back. -
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Is it bad that I make the machines work for as much translation as possible and dont use voice commands, cameras I dont trigger a shutter on or fill out surveys?
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It would be interesting to know the odds of knowing we have the global optimum in engineering optimization but I don't ever remember being taught that in college.
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It is important to know how to compare the performances of different classifiers. Statistical tests like McNemar's test play a big role in this task.
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