The Hark Blog

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Understanding the Bias Variance Trade-Off

The bias-variance trade-off is a fundamental concept in machine learning and statistics that refers to the trade-off between a model’s ability to fit the training data well (low bias) and its ability to generalise to unseen data (low variance).

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data science image

Understanding the Bias Variance Trade-Off

The bias-variance trade-off is a fundamental concept in machine learning and statistics that refers to the trade-off between a model’s ability to fit the training data well (low bias) and its ability to generalise to unseen data (low variance).

Read More
Phoebe leading discovery sessionj

Finding the solution means defining the problem

The move towards Net Zero, for companies big or small, can be really daunting. Where do you start? How much will it cost? What’s the ROI? Who can help me? These are all reasonable questions that create obstacles to a net zero deployment.

energy ball of electricity

Hark Energy Hierarchies; the most useful features for data validation

As of 2022, there hasn’t been a more vital time to have a deeper understanding of your energy consumption; whether that’s across a varied estate of sites, in a factory, depot, or store. The fact is that energy costs are exponentially going up, without any indication of whether they’ll come back down. The time for action is now.

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