Tag: R
Apr 3, 2019 |
Apache Spark is one of the most widely used tools in the big data space, and will continue to be a critical piece of the technology puzzle for data scientists and data engineers for the foreseeable future. Read more…
Oct 3, 2018 |
Data scientists who work within the R environment can now partake of MLflow, the open source project that Databricks released earlier this year to help manage workflows associated with machine learning development and production lifecycles. Read more…
Sep 24, 2018 |
What happens when you put a neural network in charge of a rules-based marketing automation solution? Would the AI emerge victorious, or does the human driver still have a thing or two to show the talented mimicker? Read more…
Jul 19, 2018 |
Data scientists have a growing range of options when choosing analytical tools, and a new survey of tool preferences reveals a roughly even split in preferences among the three leading programming languages. Read more…
Apr 12, 2018 |
Neural network interpretability, integration with open source analytic libraries, and greater mobility within SAS’s product suite are among the capabilities that are coming to the SAS Viya platform later this quarter. Read more…
Mar 19, 2018 |
The advent of automated machine learning platforms has expanded the access and availability of algorithmic interpretation over the past several years. But how do the different machine learning platforms stack up from a performance perspective? Read more…
Feb 12, 2018 |
Nothing is quite so personal for programmers as what language they use. Why a data scientist, engineer, or application developer picks one over the other has as much to do with personal preference and their employers’ Read more…
Mar 17, 2017 |
Data science platform startup Domino Data Lab, which launched its first product in 2014, rolled out its first upgrade this week designed to speed the deployment of predictive and other models along with the addition of an underlying model deployment architecture based on the Kubernetes cluster orchestrator. Read more…
Feb 13, 2017 |
Eduardo Ariño de la Rubia has been building quantitative teams for the past two decades, and knows first-hand how hard it can be to bring data science capabilities into a production setting. Read more…
Jan 23, 2017 |
How will data scientists work in the future? Based on today’s trends and a new survey by Forrester, it seems likely that much of the work that data scientists do will revolve around centralized platforms that help to organize not just the data and the tools, but data scientists themselves. Read more…
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