Publications by Quantargo Blog
Vienna<-R 2022 November Meetup (live/virtual)
Vienna After a longer COVID break we are happy to announce the upcoming ViennaR Meetup on Thursday, November 10! 🙌🎉🥳 The (live) Meetup is hosted at TU Vienna, the legendary Goldenes Lamm, Seminarraum 107/1 – where some R-Core magic happened. 👉REGISTER FOR LIVE MEETUP Note, that this meetup is hybrid and also available virtually via...
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Let’s play together: Collaborative Data Science
Why is it so hard? From experience we’ve learned that most data science projects are not truly collaborative efforts but only driven by a few key players. Best (public) examples are most open source R and Python packages available on Github. However, collaboration of data science teams can be the determining factor driving innovation in a sust...
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Let’s play together: Collaborative Data Science
From experience we’ve learned that most data science projects are not truly collaborative efforts but only driven by a few key players. Best (public) examples are most open source R and Python packages available on Github. However, collaboration of data science teams can be the determining factor driving innovation in a sustainable way. We high...
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Let’s play together: Collaborative Data Science
From experience we’ve learned that most data science projects are not truly collaborative efforts but only driven by a few key players. Best (public) examples are most open source R and Python packages available on Github. However, collaboration of data science teams can be the determining factor driving innovation in a sustainable way. We high...
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Why Management Loves Overfitting
Why Management Loves Overfitting The role of a data scientist involves building and fine-tuning of models and improve processes and products in various business areas. Typical use cases involve marketing campaigns, customer churn prediction or fraud detection. Trained models should not only work on (seen) training data but also on new (unseen) r...
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Why Management Loves Overfitting
Why Management Loves Overfitting The role of a data scientist involves building and fine-tuning of models and improve processes and products in various business areas. Typical use cases involve marketing campaigns, customer churn prediction or fraud detection. Trained models should not only work on (seen) training data but also on new (unseen) r...
3232 sym 10 img
Why Management Loves Overfitting
The role of a data scientist involves building and fine-tuning of models and improve processes and products in various business areas. Typical use cases involve marketing campaigns, customer churn prediction or fraud detection. Trained models should not only work on (seen) training data but also on new (unseen) real-world data. However, this requ...
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Why Management Loves Overfitting
The role of a data scientist involves building and fine-tuning of models and improve processes and products in various business areas. Typical use cases involve marketing campaigns, customer churn prediction or fraud detection. Trained models should not only work on (seen) training data but also on new (unseen) real-world data. However, this requ...
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ViennaR Meetup Announcement March 2019
For the next ViennaR Meetup on March 18 we are excited to announce Laura Vana (R-Ladies) and Hadley Wickham (RStudio). The meetup will take place at Webster Vienna Private University (http://webster.ac.at). Registration is required at the Meetup Page: https://www.meetup.com/ViennaR/events/259235903/ Feel free to join the networking session with f...
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ViennaR Meetup Announcement March 2019
For the next ViennaR Meetup on March 18 we are excited to announce Laura Vana (R-Ladies) and Hadley Wickham (RStudio). The meetup will take place at Webster Vienna Private University (http://webster.ac.at). Registration is required at the Meetup Page: https://www.meetup.com/ViennaR/events/259235903/ Feel free to join the networking session with f...
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