The Microsoft Team Data Science Process Lifecycle Versus CRISP-DM

Melody Zacharias compares Microsoft’s Team Data Science Process lifecycle with the CRISP-DM process:

As I pointed out in my previous blog, the TDSP lifecycle is made up of five iterative stages:

  1. Business Understanding
  2. Data Acquisition and Understanding
  3. Modeling
  4. Deployment
  5. Customer Acceptance

This is not very different from the six major phases used by the Cross Industry Standard Process for Data Mining (“CRISP-DM”).

This is part of a series on data science that Melody is putting together, so check it out.

Related Posts

Multi-Threaded R With Microsoft R Client

David Parr shows us how to get started with Microsoft R Client and performs some quick benchmarking: This message will pop up, and it’s worth noting as it’s got some information in it that you might need to think about: It’s worth noting that right now Microsoft r Client is lagging behind the current R version, and […]

Read More

Image Clustering With Keras And R

Shirin Glander shows us how to use R to extract learned features from Keras and cluster those features: For each of these images, I am running the predict() function of Keras with the VGG16 model. Because I excluded the last layers of the model, this function will not actually return any class predictions as it would normally […]

Read More

Categories

March 2018
MTWTFSS
« Feb Apr »
 1234
567891011
12131415161718
19202122232425
262728293031