Using one model to personalize ML results

These common, basic statistics and machine learning concepts are crucial for landing a data scientist role

Monitoring is easy; what to monitor is not. In the field of machine learning, data drift is just noise until you know what it means.

From last-minute goals to coin tosses: How much does randomness influence the outcomes of games?

for UX people and anyone who wants to experiment better (some willingness to deal with statistics and Python required)

A brief analysis using density estimation to compare the two-verdict and three-verdict systems.

Using GPU acceleration to speed up Bayesian Inference from months to minutes...

Understanding and Implementing Brant’s Tests in Ordinal Logistic Regression with Python

Learn Causal Structures and make inferences with Bayesian Methods: Python Tutorial The post A Practical Starters’ Guide to Causal Structure Learning with Bayesian Methods in Python appeared first on…

When deidentifying sensitive data, is it better to remove names or to replace them with randomly generated names?

An explanation of the causal assumption implicit in prescriptive modeling and how to satisfy it

How AI learns to make better decisions and why you should care about exploration vs. exploitation The post Simple Guide to Multi-Armed Bandits: A Key Concept Before Reinforcement Learning appeared…

Immune genes as predictors of disease

My lesson of how blindly over-controlling for noise can erase the effects you are measuring

How experimentation is more powerful than knowing counterfactuals

POS tagging, dependency parser and named entity recognition. The post Mastering NLP with spaCy – Part 2 appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

The Federalist Papers were the subject of early NLP and Bayesian analysis. Applying TF-IDF to find the most important words in each essay.

Bayesian statistics has gone from déclassé to prestigious to ho-hum. It's odd that a mathematical technique ever stirred such strong feelings one way or the other.

Stop guessing your statistical test. Let this AI do it for you. The post LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author.…

An algorithm-agnostic approach inspired by Cook's distance The post Help Your Model Learn the True Signal appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source