Machine Learning

Table of Contents Best Machine Learning Datasets Brief Background of Machine Learning Importance and Role of Datasets in Machine Learning Helping You Find the Best Datasets Computer Vision Datasets Object Detection What Is Object Detection Object Detection Datasets Racetrack Personal…

Table of Contents What Is Keras Core? Configuring Your Development Environment Let’s Talk about Keras! Going Beyond with Keras Core The Power of Keras Core: Expanding Your Deep Learning Horizons Show Me Some Code JAX Harnessing model.fit() Imports and Setup…

Table of Contents Netflix Movies and Series Recommendation Systems Overview of Netflix Recommendations Data Sources Objectives of Netflix Recommendations Diversity Awareness Freshness Ranking Personalized Home Page Rule- and Ranking-Based Approaches Machine Learning for Page Generation Page-Level Metrics Artwork Personalization Contextual…

Table of Contents Fundamentals of Recommendation Systems Recommendation Engines and Their Types What Are Recommendation Engines? Content-Based Recommendations Collaborative Recommendations Hybrid Recommendations Evaluating Recommendation Systems Root Mean Square Error Precision@K Recall@K Mean Reciprocal Rank Recommendation Techniques Text Mining K-Nearest Neighbor…

Table of Contents Introduction to Causality in Machine Learning Correlation and Causation Case Study 1: A “Marvelous” Problem Scenario 1: A Direct Cause Scenario 2: Reversing the Cause and Effect Scenario 3: Investigating a Hidden Cause Causal Thinking Case Study…

Are you tired of hearing buzzwords like “Machine Learning”, “Large Language Models”, and “AGI” everywhere you go, without understanding what they actually mean? If so, you’ve come to the right place. At PyImageSearch, we specialize in breaking down these complex…

Table of Contents Scaling Kaggle Competitions Using XGBoost: Part 4 What Is XGBoost? Our Dummy Dataset Breaking Down the Math Configuring Your Development Environment Having Problems Configuring Your Development Environment? Applying XGBoost on a Problem Statement Applying XGBoost to Our…

Table of Contents Automatic Differentiation Part 2: Implementation Using Micrograd Introduction What Is a Neural Network? Having Problems Configuring Your Development Environment? About micrograd Imports and Setup The Value Class Addition Compute Gradient Multiplication Compute Gradient Power Compute Gradient Negation…

Table of Contents Scaling Kaggle Competitions Using XGBoost: Part 2 AdaBoost The Dataset Sample Weights Choosing the Right Feature Significance of a Stump Calculating the New Sample Weights Moving Forward: The Subsequent Stumps Piecing It Together Configuring Your Development Environment…