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Month: January 2022

Linear Regression: Killer App with 19-century maths

I often feel the gap between the mainstream Data Science rhetoric and the true business needs is widening. When I hear of Hyperautomation, Edge AI, AutoML, or GANs, I challenge myself to take a leap back, understand our needs better.

Pawel Plaszczak January 19, 2022January 24, 2022 Articles No Comments Read more

Democratization of statistics: Chi2 for non-experts

I am big fan of advanced methods deployed to solve practical problems by ordinary users. Here is our recent achievement. My colleague, an experienced service desk manager, observed that the volume of work in his team has grown. He would

Pawel Plaszczak January 12, 2022January 13, 2022 Articles No Comments Read more

Recent Posts

  • Moving On April 4, 2026
  • Data Literacy: Six examples of bad data interpretation April 29, 2024
  • Porting PyTorch neural network to Amazon AWS June 30, 2022
  • Porting pyTorch cloud detection model to Amazon AWS S3 June 17, 2022
  • pushing data to AWS. SageMaker sucks. So does Anaconda June 14, 2022
  • Linear Regression: Killer App with 19-century maths January 19, 2022
  • Democratization of statistics: Chi2 for non-experts January 12, 2022
  • An approach to categorize multi-lingual phrases December 15, 2021
  • The implications of Scikit-learn bug #21455 November 29, 2021
  • Your model may be inaccurate November 25, 2021

Recent Posts

  • Moving On
  • Data Literacy: Six examples of bad data interpretation
  • Porting PyTorch neural network to Amazon AWS
  • Porting pyTorch cloud detection model to Amazon AWS S3
  • pushing data to AWS. SageMaker sucks. So does Anaconda

Recent Comments

  • Pawel Plaszczak on How to isolate data that constitutes a spike in histogram?
  • robert on How to isolate data that constitutes a spike in histogram?
  • Marcello Anselmi Tamburini on Your model may be inaccurate
  • C on Product Owner vs Product Manager vs Architect
  • Houcem on Don’t trust Data Science. Ask the people

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