Mistakes

6 Embarrassing Sklearn Mistakes You May Be Making And The right way to Avoid Them

2️⃣. Judging Model Performance Only By Test ScoresYou bought a test rating over 0.85 — do you have to be celebrating? Big, fat NO!Regardless that high test scores generally mean robust performance, there are...

Three mistakes when introducing embeddings and vector search Summary

BERT is a deep neural network model with weights, layers, and whatnot, a complexity we hide contained in the box. If we pull down the model from Huggingface, the model weights are assigned by...

“Expensive Mistakes to Avoid in a Data Science Interview”

As a knowledge scientist, preparing for an interview is usually a daunting task. You would like to showcase your skills and experience while demonstrating which you could add value to the corporate. Nonetheless, many...

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