Alex's Notes

Tag: machine-learning

117 items with this tag.

Jun 09, 2024
Step function methods
- machine-learning
Apr 07, 2024
Tit for Tat
- machine-learning
- game-theory
Apr 06, 2024
Epsilon-greedy exploration
- machine-learning
Apr 06, 2024
Explore exploit dilemma
- machine-learning
- philosophy
Apr 06, 2024
Incremental learning
- machine-learning
Apr 06, 2024
Model-based reinforcement learning
- machine-learning
Apr 06, 2024
Optimistic exploration
- machine-learning
Apr 06, 2024
Q-function (RL)
- machine-learning
Apr 06, 2024
Transitions (MDP)
- machine-learning
Apr 06, 2024
Value iteration (MDP)
- programming
- machine-learning
Apr 03, 2024
Credit assignment problem
- machine-learning
Apr 03, 2024
Discounted rewards
- machine-learning
Apr 03, 2024
Gridworld
- machine-learning
Apr 03, 2024
Markov decision process
- probability
- machine-learning
Apr 03, 2024
Reinforcement learning
- machine-learning
Mar 10, 2024
Dimensionality reduction
- machine-learning
Mar 10, 2024
Independent component analysis
- probability
- machine-learning
Mar 10, 2024
Linear dimensionality reduction
- machine-learning
Mar 10, 2024
Polysemy
- machine-learning
Mar 10, 2024
Principle component analysis
- machine-learning
- programming
Mar 10, 2024
Synonymy
- machine-learning
Mar 09, 2024
Clustering Problem
- machine-learning
Mar 09, 2024
Consistent clustering
- machine-learning
Mar 09, 2024
Expectation Maximisation
- programming
- machine-learning
Mar 09, 2024
Filtering (feature selection)
- machine-learning
Mar 09, 2024
Impossibility Theorem
- machine-learning
Mar 09, 2024
Irrelevant feature
- machine-learning
Mar 09, 2024
Rich clustering
- machine-learning
Mar 09, 2024
Scale-invariant clustering
- machine-learning
Mar 09, 2024
Single linkage clustering
- programming
- machine-learning
Mar 09, 2024
Soft clustering
- programming
- machine-learning
Mar 09, 2024
Strongly relevant feature
- machine-learning
Mar 09, 2024
Useful feature
- machine-learning
Mar 09, 2024
Weakly relevant feature
- machine-learning
Mar 09, 2024
Wrapping (feature selection)
- machine-learning
Mar 09, 2024
k-means clustering
- programming
- machine-learning
Feb 24, 2024
Crossover (genetic algorithms)
- machine-learning
Feb 24, 2024
Dependency Trees (Bayesian Network)
- machine-learning
Feb 24, 2024
Genetic algorithm (meta)
- programming
- machine-learning
Feb 24, 2024
Joint Entropy
- machine-learning
Feb 24, 2024
Mutation (genetic algorithms)
- machine-learning
Feb 24, 2024
Naive Bayes classifier
- programming
- machine-learning
Feb 24, 2024
Optimisation problem
- machine-learning
Feb 24, 2024
Restart hill climbing
- programming
- machine-learning
Feb 24, 2024
Simulated Annealing
- programming
- machine-learning
Feb 24, 2024
Simulated annealing ending probability
- probability
- machine-learning
Feb 24, 2024
Unsupervised learning
- machine-learning
Feb 21, 2024
Bayeses optimal classifier
- machine-learning
Feb 21, 2024
Length of a probability
- machine-learning
Feb 20, 2024
Maximum a posteriori probability estimate (MAP)
- statistics
- machine-learning
Feb 20, 2024
Maximum likelihood estimation (MLE)
- statistics
- machine-learning
Feb 19, 2024
PAC learnable bound with VC-dimension
- machine-learning
Feb 19, 2024
PAC-learnable if and only if finite VC dimension
- machine-learning
Feb 16, 2024
Concept class
- machine-learning
Feb 16, 2024
Concept
- machine-learning
Feb 16, 2024
Consistent learner
- machine-learning
Feb 16, 2024
Haussler Theorem
- machine-learning
Feb 16, 2024
Probably approximately correct learnable (PAC)
- machine-learning
Feb 16, 2024
Training error
- machine-learning
Feb 16, 2024
True error
- machine-learning
Feb 16, 2024
Vapnik-Chervonenkis dimension
- machine-learning
Feb 16, 2024
Version space
- machine-learning
Feb 16, 2024
epsilon-exhausted version space
- machine-learning
Feb 14, 2024
Mistake bound
- machine-learning
Feb 14, 2024
Sample complexity
- machine-learning
Feb 02, 2024
Accuracy
- machine-learning
- statistics
Feb 02, 2024
F1 score
- machine-learning
Feb 02, 2024
Gaussian kernel (SVM)
- machine-learning
Feb 02, 2024
Gini index
- machine-learning
Feb 02, 2024
Kernel trick
- machine-learning
- maths
Feb 02, 2024
Polynomial kernel (SVMs)
- machine-learning
Feb 02, 2024
Pre-pruning decision trees
- machine-learning
Feb 02, 2024
Precision
- machine-learning
Feb 02, 2024
Recall
- machine-learning
- statistics
Feb 02, 2024
Sigmoid kernel (SVM)
- machine-learning
Jan 31, 2024
Margin for a linear separator
- machine-learning
Jan 24, 2024
Ensemble learning
- machine-learning
Jan 24, 2024
Error rate (modelling)
- machine-learning
Jan 24, 2024
Weak learner
- machine-learning
Jan 22, 2024
Eager learner
- machine-learning
Jan 22, 2024
Instance-based learning
- machine-learning
Jan 22, 2024
Lazy learner
- machine-learning
Jan 22, 2024
The curse of dimensionality
- machine-learning
Jan 20, 2024
Activation function
- machine-learning
Jan 20, 2024
Binary step
- machine-learning
- maths
Jan 20, 2024
Error function (modelling)
- machine-learning
Jan 20, 2024
Gradient decent
- programming
- machine-learning
Jan 20, 2024
Hyperbolic tangent (tanh)
- maths
- machine-learning
Jan 20, 2024
Sigmoid function
- machine-learning
- maths
Jan 18, 2024
Perceptron (neural network)
- machine-learning
Jan 17, 2024
Calculate polynomial regression coefficients for MSE
- machine-learning
Jan 17, 2024
Cross validation
- machine-learning
Jan 17, 2024
Degrees of freedom
- machine-learning
Jan 17, 2024
Fold (cross validation)
- machine-learning
Jan 17, 2024
Polynomial regression
- maths
- machine-learning
Jan 17, 2024
Transforming discrete input for regression
- machine-learning
Jan 17, 2024
Underfitting
- machine-learning
Jan 13, 2024
Inductive bias
- machine-learning
Jan 13, 2024
Linear regression
- machine-learning
- maths
Jan 13, 2024
Mean squared error (MSE)
- machine-learning
Jan 13, 2024
Modelling paradigm
- machine-learning
Jan 13, 2024
Objective function
- machine-learning
Jan 13, 2024
Overfitting
- machine-learning
Jan 13, 2024
Preference bias
- machine-learning
Jan 13, 2024
Restriction Bias
- machine-learning
Jan 13, 2024
Testing data
- machine-learning
Jan 13, 2024
Training data
- machine-learning
Jan 11, 2024
Information entropy
- machine-learning
- maths
Jan 11, 2024
Irreducible error
- machine-learning
Jan 11, 2024
Modelling bias
- machine-learning
- maths
Jan 11, 2024
Modelling framework
- machine-learning
- statistics
Jan 11, 2024
Introduction to statistical learning with Applications in Python
- machine-learning
- statistics
Jan 10, 2024
Classification problems
- machine-learning
Jan 10, 2024
Machine Learning
- machine-learning
Jan 10, 2024
Regression problems
- machine-learning
Jan 10, 2024
Supervised learning
- machine-learning
Jan 10, 2024
Machine Learning by Tom Mitchell
- programming
- machine-learning

Created with Quartz v4.5.1 © 2025

GitHub
Discord Community