dingran/quant-notes
Quantitative Interview Preparation Guide, updated version here ==>
This guide helps aspiring data scientists, AI/ML practitioners, and quantitative researchers prepare for job interviews. It provides a curated list of resources and topics across machine learning, coding, and mathematics, detailing key concepts for each. It's designed for individuals targeting technical roles in data science, artificial intelligence, machine learning, or quantitative finance.
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Use this if you are preparing for a technical interview in data science, AI/ML, or quantitative analysis and need a structured roadmap of essential topics and study materials.
Not ideal if you are looking for an interactive course or hands-on project-based learning rather than a comprehensive resource list and topic overview.
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Mar 23, 2019
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