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Unravelling an Enormous JSON | R-bloggers

Unravelling an Enormous JSON | R-bloggers

Unravelling an Enormous JSON Posted on August 2, 2022 by R - datawookie in R bloggers | 0 Comments [This article was first published on R - datawookie , and kindly contributed...

Data Monetization? Cue the Chief Data Monetization Officer - DataScienceCentral.com

Data Monetization? Cue the Chief Data Monetization Officer - DataScienceCentral.com

 It’s the new mantra of many organizations. But what does “data monetization” really mean, how do you do it, and more importantly, who in the organization owns the job of “data...

How We Scaled Bert To Serve 1+ Billion Daily Requests on CPUs

How We Scaled Bert To Serve 1+ Billion Daily Requests on CPUs

Here’s a classic chicken-and-egg problem for data scientists and machine learning engineers: when developing a new machine learning model for your business, do you first make it...

Understanding Your Neural Network’s Predictions

Understanding Your Neural Network’s Predictions

Understanding Your Neural Network’s Predictions Deep Learning Modeling posted by ODSC Community July 26, 2022 ODSC Community Neural networks are extremely convenient. They are...

Monte Carlo and Databricks Partner to Help Companies Build More Reliable Data Lakehouses

Monte Carlo and Databricks Partner to Help Companies Build More Reliable Data Lakehouses

  As companies increasingly leverage data-driven insights to innovate and maintain their competitive edge, it’s essential that this data is accurate and reliable. With Monte...

Benchmarking a Computer Vision Deep Learning Pipeline with Distributed Computing

Benchmarking a Computer Vision Deep Learning Pipeline with Distributed Computing

Editor’s Note: Jennifer is a speaker for ODSC East 2022. Be sure to check out her talk, “Creating a Benchmark for a Large-Scale Image Captioning Pipeline,” to learn more about...

Quarto: The successor to R Markdown | R-bloggers

Quarto: The successor to R Markdown | R-bloggers

The Data SandboxR-bloggershereclick herehere [This article was first published on , and kindly contributed to R-bloggers ]. (You can report issue about the content on this page...

Historical Weather Data | R-bloggers

Historical Weather Data | R-bloggers

Historical Weather Data Posted on August 6, 2022 by R - datawookie in R bloggers | 0 Comments [This article was first published on R - datawookie , and kindly contributed to...

Integrating Drools DMN Engine with IBM Open Prediction Service - KIE Community

Integrating Drools DMN Engine with IBM Open Prediction Service - KIE Community

In this blog post we’re going to explore an integration between the Drools DMN Engine and another open source project from IBM: "Open Prediction Service" (OPS). Integrating...

The modern data stack — a short intro

The modern data stack — a short intro

Data has become a valuable asset in every company, as it forms the basis of predictions, personalization of services, optimization and getting insights in general. While...

Working with Qualtrics Data – Part 2: Excluding Data | R-bloggers

Working with Qualtrics Data – Part 2: Excluding Data | R-bloggers

Working with Qualtrics Data – Part 2: Excluding Data Posted on August 8, 2022 by rOpenSci - open tools for open science in R bloggers | 0 Comments [This article was first...

7 Applications of Auto-Encoders Every Data Scientist Should Know

7 Applications of Auto-Encoders Every Data Scientist Should Know

Auto-Encoders are a popular type of unsupervised artificial neural network that takes unlabeled data and learns efficient codings about the structure... Auto-Encoders are a...