Cloudera

SEPTEMBER 20, 2022

This blog is intended to serve as an ethics sheet for the task of AI-assisted comic book art generation, inspired by “ Ethics Sheets for AI Tasks.” AI-assisted comic book art generation is a task I proposed in a blog post I authored on behalf of my employer, Cloudera. Data — where does it come from? Introduction. Why automate?

Deep Learning 90

Deep Learning Cost-Benefit Risk Data-driven 90

Domino Data Lab

FEBRUARY 20, 2019

Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to candidly discuss cross-team collaboration within data science. Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to discuss cross-team collaboration within data science.

Data Science 76

Data Science Testing Software Uncertainty 76

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

APRIL 21, 2021

Historically, fraud detection has been performed by analysts who are responsible for identifying and tracing suspicious patterns in the data. In contrast, the decision tree classifies observations based on attribute splits learned from the statistical properties of the training data. Data Ingestion & Exploratory Data Analysis.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Domino Data Lab

JUNE 15, 2021

These companies often undertake large data science efforts in order to shift from “data-driven” to “model-driven” operations, and to provide model-underpinned insights to the business. The typical data science journey for a company starts with a small team that is tasked with a handful of specific problems.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

Ontotext

AUGUST 31, 2023

Unlike traditional database systems, a knowledge graph goes beyond the simple storage of data and focuses on the definitions of entities and the connections between them. What makes a knowledge graph a unique and powerful data solution is the semantic (data) model, or ontology , that is part of it.

Modeling 64

Modeling Optimization Knowledge Discovery Enterprise 64