Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic
|
| gptkbp:application |
autonomous vehicles
computer vision finance healthcare natural language processing speech recognition bioinformatics recommendation systems |
| gptkbp:fieldOfStudy |
gptkb:machine_learning
|
| gptkbp:goal |
solve real-world problems
build predictive models extract insights from data |
| https://www.w3.org/2000/01/rdf-schema#label |
Applied Machine Learning
|
| gptkbp:prerequisite |
gptkb:probability_theory
calculus statistics programming linear algebra |
| gptkbp:relatedTo |
gptkb:artificial_intelligence
data science |
| gptkbp:taughtAt |
gptkb:MOOCs
universities online courses |
| gptkbp:uses |
gptkb:Python
gptkb:dictionary gptkb:LightGBM gptkb:TensorFlow gptkb:XGBoost gptkb:data_visualization gptkb:reinforcement_learning gptkb:Keras gptkb:Matplotlib gptkb:PyTorch gptkb:Jupyter_Notebook gptkb:NumPy gptkb:pandas gptkb:scikit-learn R deep learning time series analysis regression supervised learning clustering cross-validation data preprocessing dimensionality reduction ensemble methods feature engineering hyperparameter tuning unsupervised learning model selection anomaly detection model deployment model evaluation model monitoring |
| gptkbp:bfsParent |
gptkb:Dipanjan_Deb
|
| gptkbp:bfsLayer |
7
|