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Humanising Data: Mental Health and Grief Accessibility of Mental Health Data The Role of Natural Language Processing (NLP) Data Pre-Processing Word Embeddings Semantic Patterns Sentiment Evaluation Challenges and Opportunities of Machine...

Engaging with our own grief and comprehending loss is a profoundly intimate experience. This often all-consuming process can result in feelings of alienation, compounded by the emotional labour of continually narrating our personal journeys...

The Golden Touch: Transforming Business Data with Contextual Intelligence External Aspects Predictably Influence Demand Embracing Contextual- and Situational Awareness Discover the Value Unleashed by Context The Challenge of...

With full context, data becomes a story, a prophecy, a compass pointing to essentially the most lucrative business strategies!All of us agree that Data Is Worthless Without Context, but when is enough context enough?In...

Conformal prediction for regression The information The workflow Data processing Training and calibration Conformal prediction Predictions quality estimation Optimizing normalization sensitivity parameter beta Optimizing error rate “Easy” approach Conclusion References

I also prepared the “easy” implementation of conformal prediction for regression. As within the previous post the simplicity means going without loops for training multiple models and obtaining multiple calibration tables. Also there isn't...

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