Wiki

Wiki pages for data

Introduction: My Data Wiki

100 MLOps

Published:
Summary: Machine learning requires devops
Pages: 1

90 Data Engineering for Data Scientists

Published:
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:
Summary: Using Graph representations and graph theories to learn
Pages: 4

21 Monte Carlo

Published:
Summary: Monte Carlo method is a fantastic numerical integration method
Pages: 1

20 Learning Theory

Published:
Summary: Root of learning
Pages: 3

19 Model Selection

Published:
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:
Summary: Forecasting is a widely used technique in both industry and science
Pages: 7

18 Tools

Published:
Summary: Notes for Tools of Data Science: Git, Command Line, Notebook, AWS etc
Pages: 9

17 Time Series

Published:
Summary: Time series analysis with simple models
Pages: 8

16 Survival Analysis

Published:
Summary: Survival probabilities
Pages: 1

15 Sugar

Published:
Summary: Some sugar for data science
Pages: 1

14 Statistics

Published:
Summary: Basics of statistics
Pages: 8

13 Statistical Hypothesis Testing

Published:
Summary: Hypothesis testing in statistics
Pages: 5

12 Statistical Estimation

Published:
Summary: Confidence intervals
Pages: 3

11 Programming Languages

Published:
Summary: Understand the source
Pages: 8

10 Pattern Mining

Published:
Summary: Association Rules
Pages: 1

9 Node Crawler

Published:
Summary: Write a crawler using nodejs
Pages: 5

8 Machine Learning

Published:
Summary: To make machine learning and understand machine learning
Pages: 53

7 Dynamical System

Published:
Summary: The world is dynamic
Pages: 4

5 Data Warehouse

Published:
Summary: Take care of your data and your data will show you its power.
Pages: 4