KDnuggets

JUNE 15, 2022

An introduction to the generative adversarial network model DoppelGANger, and how you can use a new open-source PyTorch implementation of it to create high-quality synthetic time-series data.

Data 149

Data IT Data Science 149

Confluent

JUNE 15, 2022

The committee will ensure Current has the best speakers from top companies in every industry, and cover all streaming data technologies.

Programming 98

Programming Technology Data 98

KDnuggets

JUNE 15, 2022

Here are some data science related podcasts to help you either grow your interest in the field, increase your current knowledge, or help you develop yourself.

Data Science 114

Data Science Data 114

Cloudera

JUNE 15, 2022

Cloudera’s June Volunteer Spotlight is Michael Billau, customer operations engineer from Raleigh, North Carolina! Michael volunteers with the Food Bank of Central and Eastern North Carolina. The Food Bank of Central and Eastern North Carolina provides food daily to the over 200,000 people facing food insecurity and hunger in the Raleigh area, while simultaneously building solutions to end hunger permanently in communities across North Carolina. .

Food 79

Food Banking Engineering Systems 79

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

KDnuggets

JUNE 15, 2022

14 Essential Git Commands for Data Scientists; A Structured Approach To Building a Machine Learning Model; How is Data Mining Different from Machine Learning?; Understanding Functions for Data Science; Top 18 Data Science Facebook Groups.

Machine Learning 96

Machine Learning Data Mining Building Data Science 96

Netflix Tech

JUNE 15, 2022

By Alex Hutter , Falguni Jhaveri , and Senthil Sayeebaba In a previous post , we described the indexing architecture of Studio Search and how we scaled the architecture by building a config-driven self-service platform that allowed teams in Content Engineering to spin up search indices easily. This post will discuss how Studio Search supports querying the data available in these indices.

Engineering 73

Engineering Accessible Accessibility Architecture 73