This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
Want to leverage Cloud data technology without sacrificing your existing expertise on Desktop tools? This webinar is for you. Cloud tools, like Designer Cloud Powered… Read More »DSC Webinar Series – The Hybrid Workflow – Combining the Best of Desktop and Cloud
An SAP S/4HANA deployment can be a demanding, complex, and time-consuming project. SAP modernization, SAP database adoption, and SAP cloud migration together pose a challenge… Read More »DSC Webinar Series – Modernize your SAP environments quickly and effectively
Increasing the effectiveness of your AI efforts is not about more sophisticated algorithms – it’s the data that makes the difference. While teams have been… Read More »DSC Webinar Series – It’s not about your algorithms…
Maybe you’ve heard: AI is the next phase of digital transformation and a train that no marketer can afford to miss. But how do you… Read More »DSC Webinar Series – AI for Marketers Optimize – personalization across the funnel
Countries facing the worst impacts of the climate crisis are missing out on the best data technologies to inform their responses. As a result, communities… Read More »DSC Webinar Series – United AI Alliance
In this webinar, we’ll chat with SearchKings, a digital advertising agency that built a self-service data culture on the Google Cloud ecosystem by leveraging powerful… Read More »DSC Webinar Series – Data Democratization – How SearchKings Built a Self-Service Data Culture
Introduction Have you ever had to rummage through your garage for that one tool, only to unearth it, oddly, in the kitchen drawer months later?… Read More »The ABCs of data management
Chat GPT has been a massive revelation of all time. Generations have evolved and experienced a system that is technically advanced and leverages the highest… Read More »Prompt engineering and few-shot learning: An experience beyond data science
As companies gather seemingly endless data streams from an increasing number of sources, they start to amass an ecosystem of data storage, would-be end-users, and… Read More »Data observability vs data quality
High-quality app development can significantly drive your business growth and success while boosting customer satisfaction and bringing in more clients. However, with millions of apps… Read More »The Importance of Data Engineering for a Profitable App Development
