Data Science Decisions in Time:Sequential Hypothesis Testing
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About this course
This is part of our specialization on Making Decision in Time. For this second course we start with a landmark paper from Chernoff and build new insights into the ideas that his paper sparked. The ending point should bring new code and new algorithm insights into perspective, and use, by many computer and data scientists.
What you'll learn
- understand sequential hypothesis testing
- apply new algorithms related to decision-making
- develop coding skills in data science
Course objectives
- to build insights based on Chernoff's foundational work
- to apply learned algorithms in practical coding scenarios
Skills you'll gain
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