^{90} Data Engineering for Data Scientists

Published: 2021-05-05

Summary: It is always good for a data scientist to understand more about data engineering, especially the blueprint of a fully productionized data platform.

Pages: 4

^{20} Monte Carlo

Published: 2021-02-03

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Summary: Monte Carlo method is a fantastic numerical integration method

Pages: 1

^{19} Model Selection

Published: 2020-11-08

Summary: A good model selection process selects a good model for us. What is a good model? How do we quantify it?

Pages: 5

^{18} Tools

Published: 2021-01-13

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Summary: Notes for Tools of Data Science: Git, Command Line, Notebook, AWS etc

Pages: 6

^{13} Statistical Hypothesis Testing

Published: 2019-05-31

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Summary: Hypothesis testing in statistics

Pages: 4

^{8} Machine Learning

Published: 2021-06-11

Summary: To make machine learning and understand machine learning

Pages: 35

^{5} Data Warehouse

Published: 2018-11-23

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Summary: Take care of your data and your data will show you its power.

Pages: 4

^{4} Data Visualization

Published: 2020-11-20

Summary: Data visualization is one of the key components in understanding data.

Pages: 6