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Using one model to personalize ML results The post Estimating Product-Level Price Elasticities Using Hierarchical Bayesian appeared first on Towards Data Science.

A guide to Agents, LLMs, RAG, Fine-tuning, LangChain with practical examples to start building The post New to LLMs? Start Here  appeared first on Towards Data Science.

Improve static analysis and run-time validation with full generic specification The post Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype appeared first on Towards Data Science.

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Implementation of multiple linear regression on real data: Assumption checks, model evaluation, and interpretation of results using Python. The post Multiple Linear Regression Analysis appeared first on Towards Data Science.

Introduction AlphaEvolve [1] is a promising new coding agent by Google’s DeepMind. Let’s look at what it is and why it is generating hype. Much of the Google paper is on the claim that AlphaEvolve is facilitating novel research through its ability to improve code until it solves a problem in a really good way.

Using Python to determine where NBA coaches come from and what makes them successful The post What Statistics Can Tell Us About NBA Coaches appeared first on Towards Data Science.

When performing date calculations, creating date ranges can be helpful. But how can we do this, and which DAX function can help us in which case? Now you can learn more about this topic. The post About Calculating Date Ranges in DAX appeared first on Towards Data Science.

Explaining the different machine learning roles The post Top Machine Learning Jobs and How to Prepare For Them appeared first on Towards Data Science.

Or … how an ML library can accelerate non-ML computations The post Use PyTorch to Easily Access Your GPU appeared first on Towards Data Science.