Simulated and Synthetic Data Series by Darko Medin - An ORIENTATION
Darko Medin
Data Scientist and a Biostatistician. Developer of ML/AI models. Researcher in the fields of Biology and Clinical Research. Helping companies with Digital products, Artificial intelligence, Machine Learning.
This is the orientation for my upcoming Series on Simulated and Synthetic Data. If you have any additional suggestions for topics feel free to add them...
Author : Darko Medin
First edition : October the 21st
Published bi-weekly.
Where :
Free Theoretical parts - Substack Newsletter : https://substack.com/@adatascience (Topics 1,2,3)
Coding Tutorials : adatascience.com - some of these may be under a paywall
(Topics 4,5,6,7)
Also all the updates on all editions will be featured on this Newsletter 'Advanced Stats and Data Science'.
Main topics
1.Differences and use cases of Simulated vs Synthetic Data
2.Statistical principles for creating Simulated Datasets
3.Statistical principles for creating Synthetic Datasets
4.R tutorials
5.Python tutorials
6.Machine Learning for Synthetic Data
7.Artificial intelligence vs Data Generation
I want to remind that i will be also doing a WORKSHOP on this topic at the The Effective Statistician November Conference. You may more info on that here : https://theeffectivestatistician.com/the-effective-statistician-conference-2024-transforming-healthcare/#programm-overview
by Darko Medin, the Author of the Series and Workshop Lead
Data Science Education & Consulting
1 个月Synthetic data is so important in many fields, so it's a great idea for a tutorial series. Thanks Darko Medin!
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1 个月Great resource. I think if you make the following adjustments, it will increase the enrolment of the series. Who are they specific stakeholders in Life Science Research, Drug Discovery, Business analytics ,AI Engineering and many other fields that will benefit from this series. Ex Bio statisticians, Phd candidates in Biomedical science, Data managers of cancer research organisations. How will the series assist them in achieving their dream outcome? Ex Bio statisticians in cancer research can cost effectively run preliminary analysis with more accurate synthetic data before collecting real data from patients. What resources will they benefit from enrolling ? Ex FREE Access to 10 different synthetic data and R codes to run predictive statistical analysis.
Data Scientist and a Biostatistician. Developer of ML/AI models. Researcher in the fields of Biology and Clinical Research. Helping companies with Digital products, Artificial intelligence, Machine Learning.
1 个月Another aspect to mention, more for companies / investors, a platform bioaiworks.com is in its final stages of development and some features will be operational very soon...