How AMAZON Uses Machine Learning?

How AMAZON Uses Machine Learning?

 The goal of Amazon's Artificial Intelligence capabilities is to give customers the most precise and focused product suggestions possible. By making individualized buying recommendations to its clients based on their online behavior, these machine learning algorithms are able to contribute to roughly 40% of Amazon's overall commerce. The following learning algorithms are used by Amazon ML. 

Presently, 35% of overall sales are being driven by Amazon's recommendation algorithms. Continuous AI is being used to comprehend the context and intent of client search queries so they can understand why people are looking for particular products. Alexa, the original smart speaker from Amazon, is powered by conversational AI. 

Amazon chooses linear regression based on the data's properties. If we choose a data set where that was a better fit, the model would choose a different type of classification or regression. Amazon Machine Learning use logistic regression for binary classification. Amazon Machine Learning employs multinomial logistic regression for multiclass classification.