WorksheetsSupervised Learning
Total questions: 14
Worksheet time: 7mins
The Output of the Model is
Label
Feature
When the Model Have The Input and Output this phase is called
Training
Testing
Prediction
When the model Only have the Input
I Don't know the real Output
Training
Testing
Prediction
minimize the error as possible
Prediction
Optimization
Training
Testing
Low accuracy of training
Low accuracy of testing
Fitting
Over fitting
Under Fitting
High accuracy of training
Low accuracy of testing
Fitting
Over Fitting
Under fitting
this model split the Data to 3 Groups
Classification
Clustering
the Code in Supervised & Unsupervised Called
Program
Model
Agent
the Code in Reinforcement Learning Called
Model
Agent
Program
What is "Environment"?
It is the place that the Agent take actions in and it responds with positive or negative rewards
It is the Reward itself that the Agent learns from
Agent's Action Can be good or bad Depending on your Current ........
Reward
State
Agent
All
Reinforcement Learning Process
Next State
Action
Next Action
Reward
What is ' Exploration' ?
Exploration is finding more information about the environment.
Exploration is exploiting known information to maximize the reward.
All Of the Above
The Input of the Model Is
Feature
Label
