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DSC Webinar Series – Big Data Science July 9, 2013
Data Science Central’s Webinar Series: Big Data Science on July 9, 2013 discuss the difference between Data Science and BI and the tools and technology available. S...
Best practices that break data platforms
Every data engineering team operates on a set of accepted principles, a playbook of "best practices" intentionally designed to ensure scalability, governance, and perform...
The rise of accountable AI agents: How knowledge graphs solve the autonomy problem
Across the tech sector, the term ‘AI agent’ has become Silicon Valley’s latest Rorschach test—revealing more about the speaker’s worldview than any shared techn...
The key to conversational speech recognition
Advancements in statistical AI applications for understanding and generating text have been nothing short of staggering over the past few years. Many believe it’s only ...
How to Get AI to Deliver Superior ROI, Faster
Reducing total cost of ownership (TCO) is a topic familiar to all enterprise executives and stakeholders. Here, I discuss optimization strategies in the context of AI ado...
Code audits in R&D-driven applications
Writing software for research isn’t like making a shopping app. It often controls lab instruments, runs detailed simulations, or works through huge sets of experimental...
Guide to freezing layers in AI models
Master the art of freezing layers in AI models to optimize transfer learning, save computational resources, and achieve faster training with better results....
Secrets of time series modeling: Nested cross-validation
Welcome to the series of articles on the secrets of time series modeling. Today’s edition features the nested cross-validation — a lesser-known technique that mit...