Notes

• Knapsack
  • Posted: 2023 Oct 20, Tags: algorithms
• Gradient Through Concatenation
  • Posted: 2023 Oct 02, Tags: computational-graph
• Gradient Boosting
  • Posted: 2022 Apr 14, Tags: machine-learning
• Attribute Selection in Decision Trees
  • Posted: 2022 Apr 14, Tags: machine-learning
• Reservoir Sampling
  • Posted: 2022 Apr 01, Tags: probability, distributed-computing
• Quick Select
  • Posted: 2022 Mar 14, Tags: algorithms
• Canny Edge detector
  • Posted: 2022 Mar 12, Tags: computer-vision
• Histogram of Oriented Gradients
  • Posted: 2022 Mar 12, Tags: computer-vision
• KKT conditions and Lagrange multipliers
  • Posted: 2022 Mar 11, Tags: optimisation
• BFGS
  • Posted: 2022 Mar 11, Tags: optimisation
• Bias and Variance
  • Posted: 2022 Mar 10, Tags: machine-learning
• Newton's Method
  • Posted: 2022 Jan 04, Tags: optimisation
• Common Optimisers
  • Posted: 2021 Oct 24, Tags: machine-learning, deep-learning
• Focal Loss
  • Posted: 2021 Oct 10, Tags: machine-learning, deep-learning
• RankNet and LambdaRank
  • Posted: 2021 Sep 25, Tags: ranking, search
• Movie Reviews and Gradient Descent
  • Posted: 2021 Apr 13, Tags: applied-ml
• Softmax Classifier
  • Posted: 2020 Jan 13, Tags: machine-learning
• Gradient Through Addition with Broadcasting
  • Posted: 2018 Sep 18, Tags: computational-graph
• Linear Classifiers
  • Posted: 2018 Feb 18, Tags: machine-learning
• Bayes Error
  • Posted: 2018 Feb 11, Tags: machine-learning