Alexander Schacht and Paolo Eusebi

The Effective Data Scientist

Do you want to boost your career as a data scientist? Our podcast helps you in achieving this by teaching you relevant knowledge about all the different aspects of becoming a more effective data scientist.

Vizitează neapărat site-ul podcastului și susține-i creatorul: theeffectivedatascientist.com

Autor

Alexander Schacht and Paolo Eusebi

Categorie

Science

Site-ul podcastului

theeffectivedatascientist.com

Cel mai nou episod

29 oct. 2026

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Episoade

Everything to know to write programs like a pro - Principles for good programming (Episode 5) 09.02.2023

Ok – not everything, but in this episode you will get all the tips to make sure, you avoid the most common mistakes and that your code looks professional. Shafi Chowdhury is an expert programmer who has developed a style guide, which his clients apply broadly. He regularly gives trainings on SAS programming and build his own company based on these skills. He walks us through the different points a...

Interpretable ML with Serg Masis 26.01.2023

An awesome guided tour in the world of interpretable machine learning with Serg Masis. Serg Masis is data scientist at Syngenta, a leading science-based agtech company. Serg wrote an amazing book on interpretable machine learning [link]. All the code used for the examples illustrated in the book is freely available [link]. Serg drives us through the concept of interpretability and why it is better...

Become familiar with linear regression - Part 2 (Episode 3) 12.01.2023

In this episode, we continue to dive into the linear regression model. What are the real-world applications? When our model fit is enough? What are the pros and cons of increasing complexity in our model? We discuss also the basic principles of covariates transformation (i.e. the logarithm) and how this has played a pivotal role in the modeling of the Covid-19 epidemics. Furthermore, we discuss ho...

Introduction to Linear Regression (Episode 2) 07.07.2021
Welcome to the effective data scientist podcast 05.07.2021

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