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Maximum Likelihood EstimationIt is an estimation method mainly used to determine model parameters by finding the possible data that maximizes the model observation value and using it as the final choice.
In maximum likelihood estimation, sampling satisfies the assumption of independent and identical distribution. Its purpose is to use known sample results to infer the parameter value that has the highest probability of leading to related results.
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.
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Maximum Likelihood EstimationIt is an estimation method mainly used to determine model parameters by finding the possible data that maximizes the model observation value and using it as the final choice.
In maximum likelihood estimation, sampling satisfies the assumption of independent and identical distribution. Its purpose is to use known sample results to infer the parameter value that has the highest probability of leading to related results.
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.