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About Analisis de Datos MIT
This document contains lecture transcripts from an MIT course on data science. It is divided into 4 modules that cover topics such as unsupervised learning, regression, classification, and recommendation systems. The modules contain lectures on clustering, dimensionality reduction, linear and nonlinear regression, hypothesis testing, deep learning, and collaborative filtering algorithms for recommendations. Case studies and examples are provided to illustrate techniques for making sense of unstructured data, prediction, causal inference, and personalized recommendations.
Detailed Information
| Author: | ['Anonymous lIJl27QBXL'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 340 |
| Language: | English |
| Format: | |
| Price: | FREE |
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