From the course: Machine Learning Foundations: Statistics
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Applications of statistics in ML - Python Tutorial
From the course: Machine Learning Foundations: Statistics
Applications of statistics in ML
- I'm scrolling over photos on my phone searching for a photo of my dog, Ben. Oh, great! My phone can detect all the photos of my dog without me spending 15 to 20 minutes searching for them. Behind the scenes, image recognition identifies an object between an image and classifies it in a certain category, in our case, a dog. Data similar to photographs, we're surrounded by it, and every machine learning project relies on the data. We need statistics to both understand the data used to train machine learning model and to interpret the results of testing different machine learning models. Now, let's see some applications of statistics in ML. Starting with the selection of the type of the method, for example, classification or regression, statistical methods play a huge role. For example, exploratory data analysis is used for summarization and visualization, and data mining for the automatic discovery of structural…
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