CMSC320 Notes
Search
Search
Search
Dark mode
Light mode
Explorer
Data Science
Data Cleaning
Data Exploration
Data Types
Data Visualization
Pandas
Time Series
ML
Classification
Class Imbalance
Classification
Decision Trees
KNN
Naive Bayes
Random Forests
sklearn for classification
SVMs
Feature Engineering
Binning
Clustering
Feature Engineering
Hierarchical Clustering
K-Means Clustering
One Hot Encoding
PCA
Model Evaluation
Evaluation
K-Fold Cross Validation
Neural Networks
Activation functions
Backpropagation
CNNs
Neural Networks
NLP
Bag of Words
NLP
Preprocessing (NLP)
TF-IDF
Topic Modeling
Debugging models
Graphs
Machine Learning
Recommendation Engines
Regression
Transfer Learning
Review
Final Review
Midterm 1 Review
Midterm 2 Review
Stats
Central Limit Theorem
Covariance
Effect Size
Entropy
Experimental Design
Hypothesis and Inference
Pearson's Correlation Coefficient
Probability Distributions and Summary Stats
Writing
Home
❯
ML
❯
Transfer Learning
Transfer Learning
Feb 05, 2024, 1 min read
Use a pre-trained network to do a novel classification problem
Graph View
Backlinks
No backlinks found