Categories RecSys Building a 'Similar Products' Recommender - A Content-Based Approach Recommender Sytems - Learning To Rank Intro to world of Recommender Systems - Collaborative Filtering Fundamentals The Dividend Is Not Speed: Steering a Team Through AI Coding Tools Agent Memory: How AI Agents Remember, Forget, and Learn on the Job How LLMs Scale: FLOPs, Bytes, and the Price of a Token The Evolution of Attention: One Mechanism, Four Escape Routes Diffusion Models: Learning to Create by Learning to Destroy The KV Cache: Why LLMs Never Do the Same Work Twice Causal Inference: Answering the Questions Prediction Can't Mixed Effects Models: Partial Pooling for Data That Comes in Groups Generalized Linear Models: The Recipe Behind Linear and Logistic Regression Actor-Critic Methods in Reinforcement Learning - An Introduction A Beginner's Guide to Policy Gradients in Reinforcement Learning Language, Learning, and AI - An Exploration of Large Language Models Autoencoders Explained - Breathing Life into Data I want AI/ML! Do you need it though... ChatGPT, what exactly is the hype? Exploring the innner workings.... Intro to world of Recommender Systems - Collaborative Filtering ML Diffusion Models: Learning to Create by Learning to Destroy Causal Inference: Answering the Questions Prediction Can't Unlocking Customer Lifetime Value (CLV) with Kaplan-Meier Survival Curves The Geometry of Pricing: How We Turned a Prediction Problem Into a Decision Problem Engineering Retention: Interpretable Churn Cohort Discovery for Broadband Mixed Effects Models: Partial Pooling for Data That Comes in Groups Generalized Linear Models: The Recipe Behind Linear and Logistic Regression Stratified Sampling - A solution to working with large data Less is More - Reducing Annotation Costs with Active Learning Detecting Statistical Differences in Feature Distributions Exploration into Kolmogorov Arnold Networks Autoencoders Explained - Breathing Life into Data Transfer Learning: Reusing Pre-trained Layers I want AI/ML! Do you need it though... Understanding Sampling XGBoost, Understanding Tuning Target Encoding, the secret to making better features! Method Chaining (Flow Programming), making analysis neater! Tools Goals and Loops: Telling Your Coding Agent When It's Done Working With Coding Agents: Principles for Reliable AI-Built Software Langchain - Bigquery SQL agent Unpacking Docker - An Exploration Under the Hood Understanding & Utilising Langchain HuggingFace - NLP playaround XGBoost, Understanding Tuning Method Chaining (Flow Programming), making analysis neater! Techniques J-Space: How Anthropic Reads Claude's Silent Thoughts Knowledge Distillation: How Frontier Intelligence Gets Cheap Reasoning Models: Teaching LLMs to Think Before They Answer Building a 'Similar Products' Recommender - A Content-Based Approach Stratified Sampling - A solution to working with large data Generative AI Meets Intent Classification - A Smarter Approach Less is More - Reducing Annotation Costs with Active Learning Finetuning LLMs - LoRA Detecting Statistical Differences in Feature Distributions Exploration into Kolmogorov Arnold Networks Aligning Multi-Armed Bandits for Dynamic Optimization of Customer Assignments in Recommendation Models Transfer Learning: Reusing Pre-trained Layers Recommender Sytems - Learning To Rank Understanding Sampling Target Encoding, the secret to making better features! NLP J-Space: How Anthropic Reads Claude's Silent Thoughts How LLMs Scale: FLOPs, Bytes, and the Price of a Token The Evolution of Attention: One Mechanism, Four Escape Routes Knowledge Distillation: How Frontier Intelligence Gets Cheap The KV Cache: Why LLMs Never Do the Same Work Twice Reasoning Models: Teaching LLMs to Think Before They Answer Chatbots in Education - Exploring the Past, Present, and Future of Conversational AI Generative AI Meets Intent Classification - A Smarter Approach Semantic Search for Customer Search Queries Finetuning LLMs - LoRA Langchain - Bigquery SQL agent Understanding & Utilising Langchain HuggingFace - NLP playaround Language, Learning, and AI - An Exploration of Large Language Models ChatGPT, what exactly is the hype? Exploring the innner workings.... RL Actor-Critic Methods in Reinforcement Learning - An Introduction Aligning Multi-Armed Bandits for Dynamic Optimization of Customer Assignments in Recommendation Models A Beginner's Guide to Policy Gradients in Reinforcement Learning MLOps Unpacking Docker - An Exploration Under the Hood Case-Study Unlocking Customer Lifetime Value (CLV) with Kaplan-Meier Survival Curves The Geometry of Pricing: How We Turned a Prediction Problem Into a Decision Problem Engineering Retention: Interpretable Churn Cohort Discovery for Broadband Chatbots in Education - Exploring the Past, Present, and Future of Conversational AI Semantic Search for Customer Search Queries Agents The Dividend Is Not Speed: Steering a Team Through AI Coding Tools Agent Memory: How AI Agents Remember, Forget, and Learn on the Job Goals and Loops: Telling Your Coding Agent When It's Done Working With Coding Agents: Principles for Reliable AI-Built Software
Aligning Multi-Armed Bandits for Dynamic Optimization of Customer Assignments in Recommendation Models
Aligning Multi-Armed Bandits for Dynamic Optimization of Customer Assignments in Recommendation Models
