How Singapore Data Scientists caught the subway MRT “Circle line” rogue train

https://blog.data.gov.sg/how-we-caught-the-circle-line-rogue-train-with-data-79405c86ab6a

Advertisements

The 5 Basic Statistics Concepts Data Scientists Need to Know

Key Concepts:

  1. Median, Skewed, Variance, Standard Deviation
  2. Uniform, Normal / Poisson Distribution
  3. Baeysian Probability
  4. Over & Under Sampling
  5. Dimensionality Reduction

https://towardsdatascience.com/the-5-basic-statistics-concepts-data-scientists-need-to-know-2c96740377ae

Tutorial on Sheaves in Data Analytics 

Background: What is Sheaf (束) ? 

https://tomcircle.wordpress.com/2014/05/05/sheaf-sheaves/


Lecture 1

Lecture 2

Lecture 2: What is Topology ?


Lecture 3: What is Sheaf ?

Terms : Stalks (茎) together = Sheaf (束 / 梱)

Lecture 4: Data Structure as Sheaf

Lecture 5: Categorification

Lecture 7 & 8: Cohomology, Noise, Persistence Cohomology

<span More… (Total 8 video lectures)

Tutorial on Sheaves in Data Analytics: http://www.youtube.com/playlist?list=PLSekr_gm4hWLvFtJX0WUueVO65uhvBPrA