algorithms (3) applied-ml (1) computational-graph (1) computer-vision (2) deep-learning (2) distributed-computing (1) distributed-systems (1) machine-learning (6) optimisation (3) probability (1) probability-theory (1) ranking (1) search (1) stories (1)

algorithms

[notes] Quick Select
[posts] Finding Median
[posts] Binary Search

applied-ml

[notes] Movie Reviews and Gradient Descent

computational-graph

[posts] Differentiable Computations

computer-vision

[notes] Canny Edge detector
[notes] Histogram of Oriented Gradients

deep-learning

[notes] Common Optimisers
[notes] Focal Loss

distributed-computing

[notes] Reservoir Sampling

distributed-systems

[links] Evolution of Search Engines

machine-learning

[notes] Gradient Boosting
[notes] Attribute Selection in Decision Trees
[notes] Bias and Variance
[notes] Common Optimisers
[notes] Focal Loss
[notes] Bayes Error

optimisation

[notes] KKT conditions and Lagrange multipliers
[notes] BFGS
[notes] Newton's Method

probability

[notes] Reservoir Sampling

probability-theory

[links] Diffusion Models

ranking

[notes] RankNet and LambdaRank
[notes] RankNet and LambdaRank

stories

[stories] Logic Bulling