Series

Series

Bayesian Methods and Experimentation

1. Bayesian Statistics : A/B Testing, Thompson sampling of multi-armed bandits, Recommendation Engines and more from Big Consulting
2. No, You Cannot RCT Your Way to Policy
3. The Management Consulting Playbook for AB Testing (with an emphasis on Recommender Systems)
4. Bayesian Peeking is Still Peeking: Rigorous Proof, No Priors Required

Series

Book Reviews

1. Book Review (and reflections): The Cold War, A World History by Odd Arne Westad
2. Book Review : We - Evgeny Zamyatin
3. Book Review: East of Eden by John Steinbeck
4. Book Review: Kafka On The Shore: Haruki Murakami
5. On Murakami

Series

Low-Rank Approximation for Neural Networks

1. Part I : Shrinking Neural Networks for Embedded Systems Using Low Rank Approximations (LoRA)
2. Part II : Shrinking Neural Networks for Embedded Systems Using Low Rank Approximations (LoRA)
3. Part III : What does Low Rank Factorization of a Convolutional Layer really do?

Series

Quantization for Embedded ML

1. A Manual Implementation of Quantization in PyTorch - Single Layer
2. Are Values Passed Between Layers Float or Int in PyTorch Post Quantization?

Series

Recommender Systems

1. Unifying Tensor Factorization and Graph Neural Networks: Review of Mathematical Essentials for Recommender Systems
2. When to Use a Graph Versus Tabular ML for Recommender Systems?

Series

Soft Actor-Critic: Reinforcement Learning from Scratch

1. Soft Actor Critic (Visualized) : From Scratch in Torch for Inverted Pendulum
2. Soft Actor Critic (Visualized) Part 2: Lunar Lander Example from Scratch in Torch

Series

Spectral Graph Networks

1. Hot & Cold Spectral GCNs Part 1: From the Fourier Transform to Spectral Graph Convolutions
2. Hot & Cold Spectral GCNs Part 2: Heat Diffusion, Neural Networks, and Cold-Start Recommendations