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9 𝐃𝐢𝐬𝐭𝐚𝐧𝐜𝐞 𝐌𝐞𝐚𝐬𝐮𝐫𝐞𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞
Many #machinelearning algorithms, whether supervised or unsupervised, make use of distance measures.
Take k-NN for example, a technique often used for supervised learning. As a default, it often uses euclidean distance.
By itself, a great distance measure.
Knowing when to use which distance measure can help you go from a poor classifier to an accurate model.
Study: https://towardsdatascience.com/9-distance-measures-in-data-science-918109d069fa
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That sounds great, less and fewer officers are becoming detectives, it's common for agencies like the FBI to take good officers to their lines and it's a hard offer to turn down, but I love to read that you will become a detective, the short period of time you will be doing it speaks very well of you.
Hi, I would like to have a rapprochement with you and understand what you are focused on, I have been a police officer for 7 years but I have never been considered for advancement to detective, I feel that something is missing, could you help me?
This is wonderful news. I have been thinking for some time that there should be a division of detectives that would be in charge of investigating firsthand the events that happen in the schools with the shooters, I feel that we are the most qualified to address this issue because we are the ones that are closer to the streets and schools. Would you be willing to do this type of work?
This is great news brother detective, you are closer to belonging to the real world of the forces, being a detective is something else, you learn more and need more commitment, but I know you will make it.