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18 PCA: Principal Component Analysis

18 PCA: Principal Component Analysis

Released Sunday, 10th January 2021
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18 PCA: Principal Component Analysis

18 PCA: Principal Component Analysis

18 PCA: Principal Component Analysis

18 PCA: Principal Component Analysis

Sunday, 10th January 2021
Good episode? Give it some love!
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We discuss Principal Component Analysis as one of the most popular techniques to reduce the dimensionality of a dataset. PCA helps us be more efficient in terms of the number of variables we feed to our machine learning models. 

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Machine Learning with Coffee is a podcast where we are going to be sharing ideas about Machine Learning and related areas such as: artificial intelligence, business intelligence, business analytics, data mining and Big data. The objective is to promote a healthy discussion on the current state of this fascinating world of Machine Learning. We will be sharing our experience, sharing tricks, talking about latest developments and interviewing experts, all these on a very laid back, friendly manner. So, what are you waiting for? Grab a coffee and join us.

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