Front-End R&D Insights
Claudia discusses the tools and technologies used in front-end R&D, highlighting the prevalence of Python and Jupyter notebooks in data science. She shares insights on cloud storage solutions and the use of open-source tools like IBIS for data manipulation. Additionally, Claudia emphasizes the flexibility in programming languages for research, noting that while Python dominates, R is also welcomed for ideation.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 437: Data Science at a World-Leading Hedge Fund — with Claudia Perlich
Related Questions