Cloudera

DECEMBER 8, 2020

Two years ago we wrote a research report about Federated Learning. You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Keeping data decentralized helps solve essentially two problems.

Machine Learning 85

Machine Learning Transportation Medical Data Lake 85

AltexSoft

FEBRUARY 21, 2022

There has been a lot of buzz around data science, machine learning (ML), and artificial intelligence (AI) lately. As you may already know, to train a machine learning model, you need data. Lots of data, to be more precise. Lots of quality data, to be even more precise. So, where were we?

Machine Learning 52

Machine Learning Healthcare Algorithm Medical 52

Data Engineering Weekly

JANUARY 21, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Visit rudderstack.com to learn more. Sebastian Raschka: Ten Noteworthy AI Research Papers of 2023 It is an eventful 2023 in machine learning and AI research.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

APRIL 25, 2024

Each "thing" is given a unique identifier and the capacity to transport data autonomously across a network. The Internet of Things (IoT) connects various objects and devices via the internet to communicate with similarly connected devices or machines. million on slot machines. What is IoT Cyber Security?

Medical 52

Medical Manufacturing Healthcare Electronics 52

Data Engineering Weekly

JULY 23, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. Overall an exciting time for a data contract in 2024. See how it works today.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Monte Carlo

MARCH 29, 2022

You may not have heard the term data downtime, but I’m willing to bet you’ve experienced it and the cost of bad data firsthand. Urgent ping from your CEO about “missing data” in a critical report? Or, perhaps you’ve unintentionally made a decision based on bad data from last year’s forecasts? No harm, no foul.

Media 52

Media Google Cloud Data Engineering Data Engineer 52

Monte Carlo

MAY 19, 2022

In his seminal 2017 blog post, The Downfall of the Data Engineer , Maxime Beauchemin wrote that the data engineer had the worst seat at the table. So, if the data engineer no longer has the worst seat at the table, who then on the data team has inherited this unfortunate title? Quite the opposite in fact.

Generalist 52

Generalist Data Governance Government Metadata 52