Archives
- 14 Apr Packing Intelligence into Fewer Bits: Non-Linear Quantization in LLMs
- 26 Mar Decoding RAG Evaluation: When Your Pipeline Fails, Who is to Blame?
- 23 Mar Epilogue: The Grand Unifying Theory of A/B Testing (Enter the GLM)
- 19 Mar Beyond Traditional A/B Testing: Multi-Armed and Contextual Bandits
- 18 Mar Beyond A/B Testing: Causal Inference in the Wild (DiD, PSM, and IV)
- 16 Mar A Practical Introduction to LLM Quantization and Linear Mapping
- 12 Mar KV Cache: The Trick That Lets LLMs Remember Without Recomputing
- 28 Feb Demystifying LLM Temperature: The Math Behind the Magic of Token Sampling
- 15 Dec Introduction to AdTech: The Post-Cookie Frontier - Identity, Privacy & and What Comes Next
- 12 Dec Introduction to AdTech: The Intelligence Layer - Machine Learning in the Millisecond
- 10 Dec Introduction to AdTech: The Millisecond Handshake - Ad Tags, Pixels and the Redirect Loop
- 08 Dec Introduction to AdTech: How Publishers, Advertisers, and Auctions Really Work
- 06 Dec Introduction to AdTech: The Invisible Auction and its Participants
- 03 Dec Deep Learning Primer: Understanding Word Embeddings: From SVD to Word2Vec
- 01 Dec Deep Learning Primer: RNN & LSTM
- 30 Nov Deep Learning Primer: Exploring Regularization Techniques in DNN
- 29 Nov Deep Learning Primer: Exploring Optimization/Stabilization Techniques in DNN
- 28 Nov Deep Learning Primer: A concise introduction to Backprop and Optimizers
- 27 Nov Deep Learning Primer: Diving into the Activation Function Pool
- 25 Nov A Short Primer on Scalable Data Storage Solutions for ML Systems
- 24 Nov From Boring to Brilliant: A Guide to LLM Sampling Techniques
- 22 Nov Boosting Confidence: When Trees Learn From Their Mistakes (And Get Stronger)
- 21 Nov The Wisdom of Trees: From Single Decisions to Ensemble Intelligence
- 20 Nov Understanding PCA once and for all
- 17 Nov Connection between KL Divergence & Cross Entropy
- 16 Nov A Short Primer on KL/JS Divergence
- 15 Nov Venturing into the Isolation Forest
- 11 Nov Interpretations of ROC-AUC & PR-AUC metrics
- 08 Nov Let us Support Vector Machines
- 07 Nov Mastering Naive Bayes
- 06 Nov All about Logistic Regression
- 05 Nov All about Linear Regression
- 03 Nov Understanding Bias-Variance Tradeoff
- 01 Nov Missing Data Imputation
- 31 Oct Stats Primer: How to Choose the Right Sample Size for Your A/B Tests
- 30 Oct Stats Primer: Connecting the dots ... A/B Tests
- 29 Oct Stats Primer: A Detailed Look at z & t-statistic
- 28 Oct Stats Primer: P-values & Confidence Intervals
- 27 Oct Probability Distribution: Laplace
- 26 Oct Probability Distribution: Log-Normal
- 25 Oct Probability Distribution: Normal (Gaussian)
- 24 Oct Probability Distribution: Negative Binomial
- 23 Oct Probability Distribution: Geometric
- 22 Oct Probability Distribution: Exponential
- 21 Oct Probability Distribution: Poisson
- 20 Oct Probability Distribution: Binomial