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The Kerberos authentication is (by default) the first authentication method in the list of valid methods from the workbench client to the SLC server. In the Workbench if you go to Window->Preferences->General->Network Connections->SSH2 and then visit the |Authentication Methods| tab you will normally see four methods:…
Credit risk analysts can create blueprint frameworks for credit risk models and share the blueprints as best-practice templates within their teams.
Analysts can create actionable treatments based on selected key performance indicators (KPIs), overlay business KPIs, and analyse different options using various charts and diagrams.
Learn how to create a report, including tables and graphs, showing performance for the past twelve months, compare the most recent month with the same month in the previous year, and automate the full process.
Data scientists want to create several machine learning models, test them side-by-side against different criteria, and then select champion model.
Advanced data scientists can use neural networks with hyper-parameter optimisation and replace any missing capabilities with specific R and/or Python packages.
Analyst and data scientists want to pull data from different formats and sources, consolidate imported datasets into a single format, export the data into specific format(s), and automate and schedule the complete process.
Data scientists and/or new SAS language users can use visual programming for data prep. They can apply different manipulation techniques, including aggregation, adding new variables, sorting data, replacing missing values, and more using pre-created nodes.
Advanced SAS users are interested in using pre-created blocks to manipulate data. Instead, they want to encapsulate SAS scripts within SAS coding blocks.
An IDE to enable users to run existing or create new SAS language programs.
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