##  ALL ARTICLES FOR

#  Data Models

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###  From the diary of a Data Scientist

Data is all around us, and we don't even see it. Data Scientists usually work on projects related to well known topics in Data Science and Machine Learning, for example, projects that rely on Computer Vision, Natural La…

27 June 2022

[Read more](https://digica.com/index.php?option=com_content&view=article&id=177&catid=27&Itemid=522)

 ](https://digica.com/index.php?option=com_content&view=article&id=177&catid=27&Itemid=522)

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###  Why is explaining machine learning models important?

The main focus in machine learning projects is to optimize metrics like accuracy, precision, recall, etc. We put effort into hyper-parameter tuning or designing good data pre-processing. What if these efforts don’t seem to work?&n…

27 October 2021

[Read more](https://digica.com/index.php?option=com_content&view=article&id=164&catid=27&Itemid=522)

 ](https://digica.com/index.php?option=com_content&view=article&id=164&catid=27&Itemid=522)

[ ![Working with models vs. working with data](https://digica.com/templates/yootheme/cache/65/Data_Science-hero-65baba1a.jpeg)

###  Working with models vs. working with data

If I was to point out one most common mistake of a rookie Data Scientist, it’s their focus on the model, not on the data.

12 October 2021

[Read more](https://digica.com/index.php?option=com_content&view=article&id=159&catid=27&Itemid=522)

 ](https://digica.com/index.php?option=com_content&view=article&id=159&catid=27&Itemid=522)