Smart Data Collective

JUNE 14, 2022

You can use data mining tools to evaluate feedback from customer surveys and other resources that will help you get a better understanding of their expectations. You can also use your own data analytics dashboards to see what customers are telling you. Use Data Mining to Hone Your Content Creation Skills.

Big Data 104

Big Data Data mining Metrics Sales 104

IBM Big Data Hub

JANUARY 10, 2023

Change programs can spend many weeks conducting interviews and workshops to identify ‘As Is’ pictures. However, we often find a disconnect between what users say is happening, and what data shows is actually happening. Process mining tools automate and generate dashboards which illustrate an ‘at a glance’ view of adoption rates.

Management 52

Management Data-driven Data mining Business Objectives 52

Rocket-Powered Data Science

DECEMBER 16, 2018

From the second example above, Neural Network modeling, there are also many different preliminary tasks and parameterizations of the network that need to be decided and acted on before the cold start iterations on the edge weights can begin: How will we measure the supervised learning model’s accuracy?

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

Domino Data Lab

AUGUST 1, 2021

but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. Instead, you should focus on how techniques like PDPs and LIME can be used to gain insights into the model’s inner workings and how you can add those to your data science toolbox. See Wei et al. References.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139