Towards Data Science

New to LLMs? Start Here 

A guide to Agents, LLMs, RAG, Fine-tuning, LangChain with practical examples to ...

Estimating Product-Level Price Elasticities Using Hiera...

Using one model to personalize ML results The post Estimating Product-Level Pric...

Prototyping Gradient Descent in Machine Learning

Mathematical theorem and credit transaction prediction using Stochastic / Batch ...

How to Evaluate LLMs and Algorithms — The Right Way

Never miss a new edition of The Variable, our weekly newsletter featuring a top-...

Inheritance: A Software Engineering Concept Data Scient...

Coding concepts that distinguish an amateur from a professional data scientist T...

Google’s AlphaEvolve: Getting Started with Evolutionary...

Introduction AlphaEvolve [1] is a promising new coding agent by Google’s DeepMin...

Multiple Linear Regression Analysis

Implementation of multiple linear regression on real data: Assumption checks, mo...

What Statistics Can Tell Us About NBA Coaches

Using Python to determine where NBA coaches come from and what makes them succes...

About Calculating Date Ranges in DAX

When performing date calculations, creating date ranges can be helpful. But how ...

Top Machine Learning Jobs and How to Prepare For Them

Explaining the different machine learning roles The post Top Machine Learning J...

Building AI Applications in Ruby

Why Ruby may be the best language to write your next AI web application The post...

Use PyTorch to Easily Access Your GPU

Or … how an ML library can accelerate non-ML computations The post Use PyTorch t...

What the Most Detailed Peer-Reviewed Study on AI in the...

A meta analysis that turns out positive yet identifies the need for further rese...

Optimizing Multi-Objective Problems with Desirability F...

Applied to a very real problem: baking bread! The post Optimizing Multi-Objectiv...

I Teach Data Viz with a Bag of Rocks

Here's Why Domain-Specific Integration Matters in Your Data Science Workflows Th...

How to Set the Number of Trees in Random Forest

A practical introduction to the optRF package The post How to Set the Number of ...

Agentic AI 102: Guardrails and Agent Evaluation

An introduction to tools that make your model safer and more predictable and per...

The Automation Trap: Why Low-Code AI Models Fail When Y...

Low-code AI platforms promise speed, a model without a single line of code. But ...

How to Build an AI Journal with LlamaIndex

A step-by-step guide for building an AI assistant powered by LlamaIndex The post...

Understanding Random Forest using Python (scikit-learn)

A Random Forest is a powerful machine learning algorithm that can be used for cl...

Google’s AlphaEvolve Is Evolving New Algorithms — And I...

A blend of LLMs' creative generation capabilities with genetic algorithms The po...

How to Learn the Math Needed for Machine Learning

Maths can be a scary topic for people. Many of you want to work in machine learn...

A journey into three intuitions: Common, Bayesian and Causal The post

How To Build a Benchmark for Your Models

The Importance of Building a Benchmark and How To Do It The post How To Build a ...

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