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At Random Forest Capital, we approach investment management from the perspective of data science, in which machine learning within fully non-parametric statistical models are applied to the problem of expected gains in financial investments. Rather than having humans look at each individual event within the marketplace, machine learning employs statistical algorithms over thousands of variables and millions of observations that are capable of detecting persistent effects across all aspects of data. We use not only a wide array of machine learning methods that simultaneously apply successfully to real-life applications from medical diagnoses to sports analysis, but additionally apply proprietary methods ...

At Random Forest Capital, we approach investment management from the perspective of data science, in which machine learning within fully non-parametric statistical models are applied to the problem of expected gains in financial investments. Rather than having humans look at each individual event within the marketplace, machine learning employs statistical algorithms over thousands of variables and millions of observations that are capable of detecting persistent effects across all aspects of data. We use not only a wide array of machine learning methods that simultaneously apply successfully to real-life applications from medical diagnoses to sports analysis, but additionally apply proprietary methods developed in house to optimize returns.

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