Machine Learning Flashcards
Subscribe
Sign in
Home
About
New
Top
Discussion
Bias-Variance Tradeoff
The bias-variance tradeoff represents the balance between a model's simplicity (bias) and its sensitivity to fluctuations in the training data…
Aug 15
2
Share this post
Bias-Variance Tradeoff
machinelearning.cards
Copy link
Facebook
Email
Note
Other
Mean Shift Clustering
Mean Shift clustering is an unsupervised algorithm used to discover clusters in data without the need for specifying the number of clusters in advance…
Aug 8
1
Share this post
Mean Shift Clustering
machinelearning.cards
Copy link
Facebook
Email
Note
Other
Stochastic Gradient Descent With Momentum
Stochastic gradient descent with momentum uses an exponentially weighted average of past gradients to update the momentum term and the model's…
Aug 1
Share this post
Stochastic Gradient Descent With Momentum
machinelearning.cards
Copy link
Facebook
Email
Note
Other
July 2023
RMSprop
RMSprop optimizer adjusts the learning rates of each parameter based on the root mean square of the past gradients. It uses a moving average of the…
Jul 25
3
Share this post
RMSprop
machinelearning.cards
Copy link
Facebook
Email
Note
Other
Out-Of-Bag Errors
Out-of-bag (OOB) error is a measure used in ensemble learning, specifically in random forest algorithms.
Jul 18
Share this post
Out-Of-Bag Errors
machinelearning.cards
Copy link
Facebook
Email
Note
Other
Adaboost
AdaBoost, or Adaptive Boosting, is an ensemble learning technique that combines multiple weak classifiers to form a strong classifier.
Jul 11
2
Share this post
Adaboost
machinelearning.cards
Copy link
Facebook
Email
Note
Other
Common Output Layer Activation Functions
An output layer activation function processes the outputs of the neural network's final layer to produce a desired range of outputs, such as a…
Jul 4
Share this post
Common Output Layer Activation Functions
machinelearning.cards
Copy link
Facebook
Email
Note
Other
June 2023
Epoch
An epoch is a single iteration of training a neural network on the entire training set.
Jun 27
2
Share this post
Epoch
machinelearning.cards
Copy link
Facebook
Email
Note
Other
Loss Functions
A loss function, also called a cost function, measures the difference between the predicted output of a machine learning model and the true output…
Jun 20
Share this post
Loss Functions
machinelearning.cards
Copy link
Facebook
Email
Note
Other
Effect Of Feature Scaling On Gradient Descent
Feature scaling, such as normalization or standardization, ensures that all features are on a similar scale, allowing gradient descent to avoid…
Jun 13
1
Share this post
Effect Of Feature Scaling On Gradient Descent
machinelearning.cards
Copy link
Facebook
Email
Note
Other
DBSCAN
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a clustering algorithm used to group samples that are close to each other in the…
Jun 6
2
Share this post
DBSCAN
machinelearning.cards
Copy link
Facebook
Email
Note
Other
May 2023
Random Forests
Random Forests is an ensemble learning method that combines multiple decision trees to make predictions.
May 30
7
Share this post
Random Forests
machinelearning.cards
Copy link
Facebook
Email
Note
Other
This site requires JavaScript to run correctly. Please
turn on JavaScript
or unblock scripts