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Home Machine Learning

Your Neural Community Can’t Clarify This. TMLE to the Rescue! | by Ari Joury, PhD | Jan, 2025

Admin by Admin
January 26, 2025
in Machine Learning
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If we use AI to do our work – what’s our job, then?

10 Python One-Liners Each Machine Studying Practitioner Ought to Know


Focused Most Chance Estimation (TMLE) helps you clarify patterns the place different strategies fall brief

Ari Joury, PhD

Towards Data Science

When your Neural Networks preserve you in free fall, TMLE could be your parachute. Picture generated by Leonardo AI

Neural networks can spot patterns, correlations, and tendencies with gorgeous accuracy. However on the subject of answering ‘Why did this occur?’ they’re as clueless as a parrot mimicking human speech.

They’ll provide you with predictions, certain — however attempt asking them for an evidence, and also you’ll be left gazing a black field.

This limitation isn’t distinctive to neural networks. Correlation-based strategies like linear regression and even superior instruments like Propensity Rating Matching can not get to the core of causation-based tendencies in complicated information. That may be a drawback when decision-makers (learn: your managers) demand actionable enterprise insights and never geeky stats that solely make nerds completely happy.

Susceptible to contradicting myself, right here’s a really geeky topic for you: Focused Most Chance Estimation (TMLE). The factor is, TMLE is one of the best of each worlds. It allows you to mess around with numbers as a lot as your nerdy mind wishes, nevertheless it additionally makes your managers completely happy by producing enterprise insights.

Primarily, you get the rigor of causal inference plus the pliability of machine studying, This…

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