Relationship between AI, Machine Learning and Deep Learning
Artificial Intelligence Tripleism
Evolutionism / Cyberneticsism
2 Low tide or 3 high tide
- Perceptron, 1950s, High
- Linear perceptron function is limited, 1968, Low
- Back-propagation Algorithm, 1986, High
- SVM Algorithm, 1995, Low
- Multilayer neural network structure with AutoEncoder, 2006, High
Machine Learning = Algorithm + Neural Networks
Let the machine behave like the intelligent behavior that people show.
ID3 Decision tree algorithm, 1986
Regression & Clustering -> VC Dimension
SVM & RandomForest
Three Modes of Machine Learning
Machine Learning Directions
Machine Learning Scientist
Research Machine Learning Algorithm
Machine Learning Engineering
Apply Machine Learning Algorithm to current business.
Machine Learning Platform
Build and Maintain Distributed Machine Learning Platform
Deep Learning = AutoEncoder + Multilayer neural network structure
Data Mining vs Machine Learning
Recommended System and Advertisement System
Machine Learning -> CTR Prediction algorithm
Data Mining -> Mining new characteristics in data
Machine Learning is relatively less important.
Information Index Sub-system
NLP, Computer Visual and Sound Recognization
Big Data vs Machine Learning
Hadoop is created based on it, and Spark is based on it.
Focus in human's subjective initiative to analysis the data.
A funny history roadmap of Hadoop