Machine Learning

Type of Training

Supervised Learning

• Trained with labelled data including input and expected output

• Try to predict the next output

• Mainly used for classifcation /prediction

Unsupervised Learning

• Unlabelled data to feed to the model

• Mainly used for clustering to separate data into dfferent groups and find out the relationship between them

Reinforcement Learning

• Learn from user feedback and keep enhancing the policy to provide the more precise result

• E.g: Recommendation system

Deep Learning

• Each node is called neutron which is used for information processing

• The more layer meaning the more complicated logic, the higher leaning curve to reproduce the output

Computer Vision

• Similar with our eyes, used to identity the properies of image

• CNN can help us to identifty the image by layers