Machine Learning 101

[Mijann]

Link

Able to understand followings :-

• [x] What is Machine Learning?
• [x] AI/Machine Learning/Data Science
• [x] Framework
• [ ] Type of Machine Learning

[Mijann]

What is Machine Learning (ML)

• Program computer to learn specific tasks especially repetitive tasks
• Goal of ML is make machines to act more and more like humans to help accomplish human goals
• Eg. Predict human emotion through text, product recommendation, predict cat

AI/Machine Learning/Data Science

• A.I. or artificial intelligence - a human intelligence exhibited by machines
  • Narrow A.I. - Machines that able to perform on one task very well such as play chess, detect heart disease from images
  • General A.I. - Machines that can perform multiple tasks very well
• Machine Learning is subset of A.I. which is an approach to achieve A.I. through systems that can find patterns in a data set
  • At Stanford University, ML is described as science of getting computers to act without being explicitly programmed
• Deep Learning is one of technique for implementing ML or perhaps type of algorithm
• Data Science and Machine Learning are quite overlapped with each other
• Field of data science - Analysing data, looking at data, and then doing something with it to achieve some sort of a business goal

Framework