First week——01Introduction
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machine learning algorithm:
machine learning algorithm:
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Supervised learning = \\begin{cases} regression \\\\ classification \\end{cases}
Supervised learning={ regression classification
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Unsupervised learning
Unsupervised learning
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Others: Reinforcement learning, recommender System
Others:Reinforcementlearning,recommenderSystem
Examples of unsupervised learning:
Clustering: Take a collection of 1,000,000 different genes, and find a way to automatically group these genes into groups that are somehow similar or related by different variables, such as lifespan, location, roles, and so on.
Non-clustering: The “Cocktail Party Algorithm”, allows you to find structure in a chaotic environment. (i.e. identifying individual voices and music from a mesh of sounds at a cocktail party)
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