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:
- Lacks historical data
- Completely reacts to a certain action
- Reinforcement learning where a prize is awarded for any successful action and penalized vice versa
- Past data is kept adding to the memory
Theory of Mind
- Yet to be built as it involves dealing with human emotions, and psychology
- The future advancement of AI
- Machines could be conscious, and super-intelligent
Three of the most common usage of AI
- Computer Vision such as Face Recognition
- Natural Language Processing like Amazon’s Alexa or Apple’s Siri
- Self-driving cars
- Both the input feature and the corresponding target variable is present
- Only the input features are present
- The algorithms need to find patterns
- Rewarded with a prize for every correct move and penalized for every incorrect move”
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