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What’s new in IBM SPSS Modeler 18.3?

SPSS Modeler is a robust data science software for professional analysts and data scientists. The software scales from supporting line-of-business predictive analysis to enterprise-scale implementation.Consisting of IBM SPSS Modeler Desktop 18.3 and IBM SPSS Modeler Server 18.3, SPSS Modeler delivers a robust predictive analytics solution for a holistic approach to predictive analytics. It brings predictive intelligence to decisions made by individuals, …

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Running an old version of SPSS Statistics? Here’s why it’s worth making the move to the latest version

With v28 of IBM SPSS Statistics just released, should you consider an upgrade if you are running an unsupported version of SPSS? In terms of eagerness to upgrade, our customers fall in to a few categories: Some will upgrade as soon as they feasibly can – either due to IT policy or because they would …

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What skills are needed to successfully run data science projects in the cloud?

In my most recent blog post I wrote about the benefits and opportunities that cloud computing brings to data science projects and reciprocally, how data science projects provide a great way to demonstrate the value of cloud computing. In this post I want to discuss the cloud computing skills challenge and provide some advice on …

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What’s new in SPSS v28?

IBM is about to release the latest version of SPSS Statistics. Here’s a summary of some of the new enhancements that existing users can look forward to. Meta-analysis Meta-analysis is a well-established analytical approach that combines the results from a range of studies with a view to estimating the effect size of the treatment in question. …

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Using text analytics to get value from unstructured data

What is unstructured data? The data you have access to within your organisation can be broadly sorted into two categories: structured and unstructured. Structured data is quantitative data that can be organised into a format that can neatly be fitted into the fields and columns of relational databases or spreadsheets. Examples might include things like …

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Why data science presents the best use cases for cloud computing

We are living through a golden age of technological innovation and revolution. Whether it’s the blending of real time data, technical software and hardware instrumentation to deliver efficient, user friendly and zero carbon buildings or the combination of data, artificial intelligence algorithms and automotive technology to enable semi-autonomous vehicles, we are witnessing rapid expansion of …

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How COVID-19 is changing the nature of advanced analytics

How COVID-19 is changing the nature of advanced analytics We’re over a year into the COVID-19 pandemic now and it seems that everyone is an amateur statistics expert. Concepts like the R number, exponential growth and, most recently, probability and assessment of risk that used to be really only for discussion amongst epidemiologists and statisticians …

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How can a data scientist access training in 2021? 3 trends things to look out for…

How can a data scientist access training in 2021? 3 trends things to look out for… I have been involved in the delivery and implementation of data science software applications, data science projects and solutions that have advanced and predictive analytics at their core, in one form or another, for almost 30 years. Of course, …

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Expert insights: Diana Dubash, Assistant Psychologist, Pain Management, Birmingham City Hospital

Lorna: Can you just start off by telling me a little bit about yourself, what your background is and how you came to be where you are now? Diana: I’m a psychologist. I did psychology A-Level. That’s where it all started. Then I did an undergraduate course in psychology in London. With psychology, it’s 50% …

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