Domino Data Lab

MAY 20, 2021

The problem with this approach is that in highly imbalanced sets it can easily lead to a situation where most of the data has to be discarded, and it has been firmly established that when it comes to machine learning data should not be easily thrown out (Banko and Brill, 2001; Halevy et al., Indeed, in the original paper Chawla et al.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

JANUARY 6, 2019

In terms of teaching and learning data science, Project Jupyter is probably the biggest news over the past decade – even though Jupyter’s origins go back to 2001! If you haven’t seen R2D3 ’s excellent A visual introduction to machine learning series, part 1 and part 2 … run, do not walk, to your nearest browser and check that out!

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

APRIL 3, 2019

My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. A very big mess since circa 2001, and now becoming quite a dangerous mess. See also the paper “ The Case for Open Metadata ” by Mandy Chessell (2017–04–21) at IBM UK for compelling perspectives about open metadata.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

AUGUST 8, 2019

He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything. Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71