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 266

Strategy Machine Learning Metadata Knowledge Discovery 266

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. Common Applications.

Data mining 77

Data mining KDD Data Science Forecasting 77

Domino Data Lab

AUGUST 1, 2021

A comprehensive list of all attributes and symbol codes is given in the document that accompanies the original dataset. We start by loading the data, setting meaningful names for all attributes, and displaying the first 5 entries. Conference on Knowledge Discovery and Data Mining, pp. A14 : no checking account.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Ontotext

APRIL 4, 2019

Within a large enterprise, there is a huge amount of data accumulated over the years – many decisions have been made and different methods have been tested. Some of this knowledge is locked and the company cannot access it. We translate their documents, presentations, tables, etc. What exactly do you do for them?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76