Four Rare Machine Learning Skills All Data Scientists Need

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Overview

This course covers the most neglected yet critical skills in machine learning, four vital techniques that are very rarely covered most courses and books omit them entirely. 1) UPLIFT MODELING (AKA PERSUASION MODELING): When you're modeling, are you even predicting the right thing? 2) THE ACCURACY FALLACY: When evaluating how well a model works, are you even reporting on the right thing? 3) P-HACKING: Are your simplest discoveries from data even real? 4) THE PARADOX OF ENSEMBLE MODELS: Do you...

Syllabus

Four Rare Machine Learning Skills All Data Scientists Need

This one-week course has only one module, which covers the course's four rare yet vital topics: (1) UPLIFT MODELING: How do you optimize marketing which is meant to persuade if we cannot generally establish causal relationships? Put another way, how do you model and predict influence when you cannot measure influence? The special, advanced method uplift modeling (aka persuasion modeling) goes beyond predicting an outcome to actually predicting the influence that a treatment decision would have on that outcome. We'll explore the marketing applications of uplift modeling and see success stories from the likes of US Bank and President Obama's 2012 reelection campaign. (2) THE ACCURACY FALLACY: For many machine learning projects, high accuracy is unattainable and, besides, accuracy isn't the right metric in the first place. But many projects are falsely advertised as "highly accurate." Learn to identify occurrences of the accuracy fallacy, a common misstep by which researches spread misinformation about predictive model performance. (3) P-HACKING: In what way is bigger data more dangerous? How do we avoid being fooled by random noise and ensure scientific discoveries are trustworthy? This prevalent pitfall is a huge gotcha! (4) THE PARADOX OF ENSEMBLE MODELS: Is there a way to advance model capability and performance that's elegant and simple, without involving the complexity of neural networks? Why yes there is.