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Market Matters | Data Assets & Alpha Group: Harnessing Equity Alphas, with Jupiter’s Head of Systematic Equities (Part 1)​

Making Sense

NOTE

Importance of Hypothesis in Data Science

The most crucial aspect in data science is having a solid hypothesis, followed by high-quality data and effective modeling techniques. While quality data is necessary, compromises may need to be made due to limitations such as short data history or limited coverage in certain sectors or regions.

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