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