Blog

Table of Contents LinkedIn Jobs Recommendation Systems Feed Recommendations LinkedIn Feed First Pass Rankers Second Pass Ranker Evaluation Feature Representation Recruiter Search Recommendations LinkedIn Talent Search and Recommendations Unsupervised Approach LinkedIn’s Economic Graph First-Order Embeddings Second-Order Embeddings Computing Relevance Supervised…

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 Implementing a Convolutional Autoencoder with PyTorch Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure About the Dataset Overview Class Distribution Data Preprocessing Data Split Configuring the Prerequisites Defining the Utilities Extracting Random Images…

Table of Contents Introduction to Autoencoders What Are Autoencoders? How Autoencoders Achieve High-Quality Reconstructions? Revisiting the Story Types of Autoencoder Vanilla Autoencoder Convolutional Autoencoder (CAE) Denoising Autoencoder Sparse Autoencoder Variational Autoencoder (VAE) Sequence-to-Sequence Autoencoder What Are the Applications of Autoencoders?…

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 DETR Breakdown Part 3: Architecture and Details DETR Architecture 🏗️ CNN Backbone 🦴 Transformer Preprocessing ⚙️ Transformer Encoder 🔄 Transformer Decoder 🔄 Prediction Heads: Feed-Forward Network ➡️🧠 Importance of DETR 🌟 🔁 End-to-End Trainability ⏩ Parallel Decoding…

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 DETR Breakdown Part 2: Methodologies and Algorithms The DETR Model 👁️ Object Detection Set Prediction Loss 📉 Optimal Bipartite Matching 🔄 Optimal Bipartite Matching for Objects 🌐 Optimize Object Specific Losses 🔧 Quiz Time! 🤓 Summary Citation…