Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade. See Ribeiro et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Data Collection. Data Mining Models.

Data mining 77

Data mining KDD Data Science Forecasting 77

Ontotext

APRIL 4, 2019

We translate their documents, presentations, tables, etc. into structured knowledge that can be processed by machines. Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it. ” Then this knowledge can be downloaded from the network.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76