![]() ![]() ![]() Looking beyond, if we find a model+learner which can discover a low dimensional latent space (through certain indirectly specified biases) then that low dimensional formulation of the domain can guide us towards interesting questions worth asking. I agree with most of what you said, which IMHO comes under the spirit of supervised machine learning paradigm, which is the most advanced tool we have pragmatically available to use today. Add-on modules and upgrades are not available.I think my point may not have gotten across clearly, so let me clarify. ![]() The University can provide no licensing support for this product. The SPSS Grad Pack is not licensed by the UT Austin Consortium Agreement with IBM Inc.SPSS Grad Pack is a boxed copy that includes license and installation media.Please see the Campus Computer Store for pricing and availability.For more information on buying online, please see the Software and Data Distribution Self Help.Īvailable for purchase from the Campus Computer Store.Add-on orders MAY require 3-4 weeks for processing.In order to purchase SPSS add-on modules you must purchase an annual SPSS Campus Edition Premium license through the UT Austin IBM SPSS Licensing Structure.Purchaser and End-User agree to terms and conditions of the licensing with IBM Inc. You may reference the End User License Agreement online. Usage must fall under teaching and non-commercial academic research.Licenses acquired through this agreement have the ability to be moved to new machines for no additional fee and are eligible for free upgrades. ![]() License fees are NOT prorated under any circumstances.
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