What is the Difference Between AI and Machine Learning

Understanding the definitions and differences of ML and AI can be daunting, so I’m always on the look-out for well written content. This post from codementor.io does a really nice job, and I have attempted to further summarize below. Check out their site for the full post.

“AI is the concept in which machine makes smart decisions whereas Machine Learning is a sub-field of AI which makes decisions while learning patterns from the input data.

Artificial Intelligence is about acquiring knowledge and applying them to ensure success instead of accuracy.

The Four types of Artificial Intelligence are:

  • Reactive AI
    • Lacks historical data
    • Completely reacts to a certain action
    • Reinforcement learning where a prize is awarded for any successful action and penalized vice versa
  • Limited Memory
    • Past data is kept adding to the memory

    Theory of Mind

    • Yet to be built as it involves dealing with human emotions, and psychology

    Self-Aware

    • The future advancement of AI
    • Machines could be conscious, and super-intelligent

    Three of the most common usage of AI

    1. Computer Vision such as Face Recognition
    2. Natural Language Processing like Amazon’s Alexa or Apple’s Siri
    3. Self-driving cars

  • What is Machine Learning?
  • Machine Learning is a state-of-the-art subset of Artificial Intelligence which let machines learn from past data, and make accurate predictions.
  • In Machine Learning, the concept of neural networks plays a significant role in allowing the system to learn from themselves.
  • Machine Learning is mostly about acquiring knowledge and maintaining better accuracy instead of success.
  • A sub-field of Machine Learning is Deep Learning. However, Deep Learning requires enormous computational power and works best with a massive amount of data. It uses neural networks whose architecture is similar to the human brain.
  • Machine Learning could be subdivided into three categories –
  • Supervised Learning
    • Both the input feature and the corresponding target variable is present
  • Unsupervised Learning
    • Only the input features are present
      The algorithms need to find patterns
  • Reinforcement Learning
    • Rewarded with a prize for every correct move and penalized for every incorrect move”

    https://www.codementor.io/divyacyclitics15/what-is-the-difference-between-ai-and-machine-learning-u6571tuxc

    Artificial Intelligence…Defined

    Image credit: Wired.com
    Q. What is artificial intelligence?
    A. It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.
    August 31, 1955
    The term “artificial intelligence” is coined in a proposal for a “2 month, 10 man study of artificial intelligence” submitted by John McCarthy (Dartmouth College), Marvin Minsky (Harvard University), Nathaniel Rochester (IBM), and Claude Shannon (Bell Telephone Laboratories). The workshop, which took place a year later, in July and August 1956, is generally recognized as the official birthdate of the new field.
    The proposal defined what its authors meant by “artificial intelligence”:

    An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves. … For the present purpose the artificial intelligence problem is taken to be that of making a machine behave in ways that would be called intelligent if a human were so behaving.
    Definition of artificial intelligence
    1 :a branch of computer science dealing with the simulation of intelligent behavior in computers
    2 :the capability of a machine to imitate intelligent human behavior
    • Artificial intelligence is a computerised system that exhibits behaviour that is commonly thought of as requiring intelligence.” (3)
    • “Artificial Intelligence is the science of making machines do things that would require intelligence if done by man.” (4)
    • The founding father of AI, Alan Turing, defines this discipline as:
      • “AI is the science and engineering of making intelligent machines, especially intelligent computer programs.” (5)