Decision Management Solutions

DECEMBER 8, 2020

CRoss Industry Standard Process for Data Mining (CRISP-DM) is a proven and successful methodology that enables businesses to see how machine learning can be effectively applied to solving real-world business problems. In this workshop you’ll learn how to: Apply machine learning to business operations through the structure of CRISP-DM.

Machine Learning 52

Machine Learning Data mining Predictive Modeling Data-driven 52

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 106

Big Data Data mining Metrics Sales 106

CIO Business Intelligence

JUNE 28, 2023

It’s worth noting that each initiative carried its own unique complexity, such as varying data sizes, data variety, statistical and computational models, and data mining processing requirements. Working with non-typical data presents us with a reality where encountering challenges is part of our daily operations.”

Digital Transformation 99

Digital Transformation Cost-Benefit Informatics Data mining 99

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. Picking up the pace: Accelerating the change journey. Do you know how your business really operates on the ground?

Management 52

Management Data-driven Data mining Business Objectives 52

Rocket-Powered Data Science

DECEMBER 16, 2018

Workshop on Meta-Learning (MetaLearn 2018). Finally, in addition to the awesome 750-page book “ Encyclopedia of Distances “, please check out some of these top-selling books on Data Science, AI, and Machine Learning :

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

Decision Management Solutions

AUGUST 18, 2020

Most organizations have many such decisions they could usefully digitize but many struggle to identify them ( get in touch if you are interested in our remote decision discovery and decision value assessment workshops). Use data mining techniques to classify and categorize your customers and transactions.

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88

Domino Data Lab

AUGUST 1, 2021

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. In IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI), pages 24–30, Melbourne, Australia, 2017. References. Explainable planning.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139