^{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

^{22} Machine Learning with Graph

Published: 2021-09-25

Summary: Using Graph representations and graph theories to learn

Pages: 4

^{21} 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

^{19} Forecasting

Published: 2022-11-12

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Summary: Forecasting is a widely used technique in both industry and science

Pages: 7

^{18} Tools

Published: 2022-01-31

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

Pages: 9

^{17} Time Series

Published: 2023-02-10

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Summary: Time series analysis with simple models

Pages: 8

^{13} Statistical Hypothesis Testing

Published: 2022-04-02

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Summary: Hypothesis testing in statistics

Pages: 5

^{8} Machine Learning

Published: 2023-02-10

Summary: To make machine learning and understand machine learning

Pages: 50

^{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