Machine Learning by Andrew Ng
GPTKB entity
Statements (90)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
online learning platform
|
| gptkbp:category |
computer science
|
| gptkbp:certification |
yes
|
| gptkbp:duration |
11 weeks
|
| gptkbp:enrollment |
millions
|
| gptkbp:format |
video lectures
|
| https://www.w3.org/2000/01/rdf-schema#label |
Machine Learning by Andrew Ng
|
| gptkbp:includes |
quizzes
programming assignments |
| gptkbp:language |
English
|
| gptkbp:level |
beginner
|
| gptkbp:notableFaculty |
gptkb:Andrew_Ng
|
| gptkbp:platform |
gptkb:Coursera
|
| gptkbp:programmingLanguage |
gptkb:MATLAB
gptkb:Octave |
| gptkbp:startYear |
2011
|
| gptkbp:subject |
gptkb:machine_learning
|
| gptkbp:teaches |
gptkb:algorithm
gptkb:principal_component_analysis gptkb:multivariate_Gaussian_distribution gptkb:polynomial_regression gptkb:Gaussian_mixture_models backpropagation neural networks online learning error analysis precision gradient descent recommendation systems supervised learning AUC F1 score ROC curve bias-variance tradeoff clustering cross-validation data preprocessing dimensionality reduction feature engineering feature selection k-means clustering learning rate linear regression logistic regression overfitting recall regularization stochastic gradient descent support vector machines underfitting unsupervised learning model selection recommender systems collaborative filtering sigmoid function activation function anomaly detection cost function test set training set unsupervised feature learning validation set normalization evaluation metrics multiclass classification anomaly detection with Gaussian distribution cost minimization data splitting debugging machine learning algorithms decision boundary feature scaling gradient checking large scale machine learning learning curves log-likelihood low-rank matrix factorization machine learning best practices machine learning system design map-reduce mean normalization mini-batch gradient descent multinomial classification multivariate linear regression normal equation one-vs-all classification one-vs-one classification probabilistic interpretation softmax regression |
| gptkbp:bfsParent |
gptkb:Coursera
|
| gptkbp:bfsLayer |
5
|