01 Machine Learning Landscape Flashcards
define semi-supervised
Where few target values are defined and not defined for other
Eg - google photos once we tag a person in 1 picture the model will automatically tag the person in other photos
Define reinforcement learning
Model completely learns by itself using penalising and rewards
Define unsupervised
When target variables are not defined
Based on human supervision ML is divided into
Supervised Learning
Unsupervised Learning
Semi-supervised Learning
Reinforcement Learning
Define Supervised learning
Where the target values are defined
types of ML based on learning.
- Online Learning
- Batch Learning
types of ML based on working.
1.instance based
2.model based
what is batch learning
model does not learn incrementally.
once model is created, we need to retrain the model to get output on different set of data.
What is Online Learning
the system continuously learns with sequential data or incremental data.
It is used for data which keeps on changing.
what is Instance Based Learning
In this model will try to learn the target variable by heart and try to generalize.
what is model based learning.
in this model will find pattern and trends of target variable and than generalize it.
