What’s Wrong With CRISP-DM

Jen Stirrup explains the issues with CRISP-DM, a model for data mining:

The model no longer seems to be actively maintained. At the time of writing, the official site, CRISP-DM.org, is no longer being maintained. Further, the framework itself has not been updated on issues on working with new technologies, such as Big Data.

Jen then contrasts with with Microsoft’s Team Data Science Process framework; click through for that.

Related Posts

Random Forests In R

Anish Sing Walia explains the basics of random forests and provides sample code in R: Random Forests are similar to a famous Ensemble technique called Bagging but have a different tweak in it. In Random Forests the idea is to decorrelate the several trees which are generated on the different bootstrapped samples from training Data.And […]

Read More

Neural Networks From Scratch

Ilia Karmanov explains neural nets and shows how to build one in R: Hence, my motivation for this post is two-fold: Understanding (by writing from scratch) the leaky abstractions behind neural-networks dramatically shifted my focus to elements whose importance I initially overlooked. If my model is not learning I have a better idea of what […]

Read More

Categories

July 2017
MTWTFSS
« Jun  
 12
3456789
10111213141516
17181920212223
24252627282930
31