Domino Data Science Blog

Sundeep Teki

Sundeep Teki has worked in AI and neuroscience in the US, UK, India, and France. He has published over 40 papers and built and deployed AI for consumer tech products like Amazon Alexa. He advises and consults tech startups on AI/ML, product, and strategy, and he coaches data and AI professionals and executives.

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Perspective

The Case for Reproducible Data Science

Reproducibility is a cornerstone of the scientific method and ensures that tests and experiments can be reproduced by different teams using the same method. In the context of data science, reproducibility means that everything needed to recreate the model and its results such as data, tools, libraries, frameworks, programming languages and operating systems, have been captured, so with little effort the identical results are produced regardless of how much time has passed since the original project.

By Sundeep Teki8 min read

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