You're tasked with improving the recommendation system of an e-commerce platform. What Machine Learning techniques would you consider implementing?

Collaborative Filtering, Content-Based Filtering
Image Recognition, Text Classification
Supply Chain Optimization, Clustering
Weather Prediction, Fraud Detection

Collaborative Filtering and Content-Based Filtering are widely used in recommendation systems. Collaborative Filtering uses user-item interactions, while Content-Based Filtering uses item attributes to make personalized recommendations.

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Machine Learning Quiz

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While AI aims to mimic human intelligence, Machine Learning focuses on learning from data, and Deep Learning emphasizes learning from data using __________.

In _______-fold Cross-Validation, each observation is left out once as the validation set, providing a robust estimate of model performance.

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The risk of overfitting can be increased if the same data is used for both _________ and _________ of the Machine Learning model.
In what scenarios would you use PCA, and when would you opt for other methods like LDA or t-SNE?
In a situation where you have a large dataset with only a small portion of labeled data, which learning paradigm would be most appropriate and why?
In the context of machine learning, what is a time series?

You're tasked with improving the recommendation system of an e-commerce platform. What Machine Learning techniques would you consider implementing?

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