KDnuggets

JULY 7, 2022

We've been long working on improving the user experience in UGC products with machine learning. Following this article's advice, you will avoid a lot of mistakes when creating a recommendation system, and it will help to build a really good product.

Systems 116

Systems Machine Learning Building IT 116

Meltano

JULY 7, 2022

Gone are the days when success meant keeping data teams small and getting your insights quickly with tools built in-house. Data is taking on a new level of importance to businesses, and expectations are changing. Reliability, consistency, and accuracy are of greater importance than ever before, and the old ways of data don’t support that, leaving DataOps professionals frustrated.

BI 52

BI Software Engineer Software Engineering Data Workflow 52

KDnuggets

JULY 7, 2022

Take advantage of your existing data whether it be for testing, training ML models, or unlocking data analysis. Answer nuanced scientific questions, enable better testing, and support business decisions with the synthetic data that looks, feels, and behaves like your production data - because it’s made from your production data.

Data Engineering 99

Data Engineering Data Engineer Engineering Data 99

Monte Carlo

JULY 7, 2022

Editor’s Note : We ran into Andrew at our London IMPACT event in early 2022. At the time, he was one of a very few people using the term “data contract.” Not only was he using the term, but his implementation was generating results. Data contracts have since became one of the most discussed topics in data engineering. For posterity, we have preserved Barr’s forward that examines what was then a very nascent trend, but we have also added an updated data contract FAQ as an addendum.

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

KDnuggets

JULY 7, 2022

Coming to think of technical debt in ML systems leads to the additional overhead of ML-related issues on top of typical software engineering issues.

Software Engineer 108

Software Engineer Software Engineering Engineering Systems 108

Confluent

JULY 7, 2022

How Confluent’s data streaming platform enriches real-time stock market data directly into Databricks’ Lakehouse for powerful data modeling, risk management, and analytics.

Management 52

Management Data 52