Find what you already know, what you need, and the next steps
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Allocation Bias, Clinical Trials, RCTs, Allocation Concealment, and how Data Science fits into all of this.
1
Backfilling, Backfill Bias, Quantitative Analytics, Hedge Funds, and some insights into time series analysis.
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Log Linear model, this is not the same as logistic regression. This one is actually meant for regression analysis, not classification problems.
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Logit Function, Sigmoids, Logistic Regression, Classification problems, and the titanic dataset.
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Artificial Intelligence, or Artificial Stupidity?
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Your Homework, Behavioral Interview questions, technical knowledge, the final round, and some stuff you should brush up on.
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Short post on look ahead bias. This is the follow up post to the original, and talks about a few more other biases related to it, and offers a few more…
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Data Science & Machine Learning 101