Notes

• Knapsack

  2023 Oct 20

  • algorithms
• Gradient Through Concatenation

  2023 Oct 02

  • computational-graph
• Gradient Boosting

  2022 Apr 14

  • machine-learning
• Attribute Selection in Decision Trees

  2022 Apr 14

  • machine-learning
• Reservoir Sampling

  2022 Apr 01

  • probability, distributed-computing
• Quick Select

  2022 Mar 14

  • algorithms
• Canny Edge detector

  2022 Mar 12

  • computer-vision
• Histogram of Oriented Gradients

  2022 Mar 12

  • computer-vision
• KKT conditions and Lagrange multipliers

  2022 Mar 11

  • optimisation
• BFGS

  2022 Mar 11

  • optimisation
• Bias and Variance

  2022 Mar 10

  • machine-learning
• Newton's Method

  2022 Jan 04

  • optimisation
• Common Optimisers

  2021 Oct 24

  • machine-learning, deep-learning
• Focal Loss

  2021 Oct 10

  • machine-learning, deep-learning
• RankNet and LambdaRank

  2021 Sep 25

  • ranking, search
• Movie Reviews and Gradient Descent

  2021 Apr 13

  • applied-ml
• Softmax Classifier

  2020 Jan 13

  • machine-learning
• Gradient Through Addition with Broadcasting

  2018 Sep 18

  • computational-graph
• Linear Classifiers

  2018 Feb 18

  • machine-learning
• Bayes Error

  2018 Feb 11

  • machine-learning