Building Cool Stuff with AI – Landeros Labs

Level Up Your SmolAgents: Practical Patterns for Building Effective Agents

Agents

The world of AI is buzzing with excitement about agents, and rightfully so. However, amidst the hype surrounding complex frameworks and specialized libraries, a crucial…

Building Intelligent Customer Service Agents with Pydantic-AI and LLMs

Agents

Man I was blown away by how simple and effective building agents in pydantic has been for me this weekend.

Marketing Mix Model Comparison

Marketing

Imagine trying to bake a cake without knowing how much flour, sugar, or eggs to use. You might end up with a disaster! Similarly, in marketing, blindly allocating budgets…

Identifying Fraud with Isolation Forest

Fraud Detection

Fraud detection is a critical task across various industries, from finance to e-commerce. Traditional rule-based systems often struggle to keep up with the evolving tactics…

Email Campaign Effectiveness Predictor

Marketing

RandomForest

Regression

In this blog post, we’ll develop a model that predicts the likely open rates, click-through rates, and conversion rates for email campaigns based on historical data and…

Markov decision process intuition - marketing example

Marketing

Graph

Markov

Markov Decision Processes (MDPs) might sound like a complex mathematical concept, but they’re incredibly useful for making decisions in uncertain environments. In this post…

ad-optimization-with-multi-armed-bandits

Code

Analysis

Imagine you’re running a website with multiple ad variants. Which ad should you show to maximize clicks? This is a perfect application for the multi-armed bandit (MAB)…

Building and Optimizing a Customer Segmentation Model

Marketing

Clustering

In today’s data-driven marketing landscape, understanding your customers is crucial for tailoring effective marketing strategies. One powerful technique for gaining these…

Understanding Multi-Armed Bandits: A Gateway to Reinforcement Learning

Code

Analysis

Multi-armed bandits (MAB) represent one of the simplest yet most profound examples of the exploration-exploitation dilemma in reinforcement learning. In this blog post…

Understanding Markov Decision Processes in Deep Reinforcement Learning

DRL

MDP

Markov Decision Processes (MDPs) form the theoretical backbone of modern reinforcement learning, including deep reinforcement learning. In this post, we’ll explore how MDPs…

The Bellman Equation: The Foundation of Deep Reinforcement Learning

DRL

MDP

The Bellman equation, named after Richard Bellman, is one of the most fundamental concepts in reinforcement learning. It provides a recursive relationship between the value…

Reinforcement Learning: A Comprehensive Overview

Reinforcement Learning

AI

These equations form the foundation for many RL algorithms, which aim to find or approximate the optimal value functions and, consequently, the optimal policy.

Marketing Mix Modeling

Marketing

Marketing Mix Modeling (MMM) is a powerful technique used to measure the effectiveness of various marketing activities and understand how they contribute to sales or other…

Quant Trading: Asset Class Selection

Trading

Quant

As a seasoned quantitative trader who relies on statistical analysis to thrive in the dynamic world of trading, one of the fundamental questions that drives my strategy is…

Scraping home prices in Ensenada Mexico

Scrape

Nestled in the heart of Ensenada, Baja Califronia, Mexico is an amazing port city that has always been a part of my life,(since Covid) I’ve built a home that is not just a…

Learning Statistics and Probability with SciPy and Python

Statistics

This Jupyter Notebook provides a comprehensive guide to the fundamentals of statistics and probability, using SciPy and Python for practical implementation and visualization.

Navigating the LLM Landscape: A Guide to Key Papers

History

LLM

I am keeping a list of the papers which i think are the most important. why i dotn really know. just to make it easier fro me.

Data Discretization: A winning strategy

Code

Analysis

Data discretization is a powerful technique that can significantly improve your machine learning models’ performance. In this tutorial, we’ll explore practical…

The Common Mistakes You’re Making With A/B Testing And How To Avoid Them

AB

Stats

A/B testing is one of the most powerful tools in a marketer’s toolkit. By showing different variants of a page to different segments of users, you can directly measure the…

A/B Testing Demystified

AB

A/B testing, also known as split testing, is a powerful technique employed by data engineers and marketers to evaluate the performance of two or more variants of a webpage…