Machine Learning and AI

Machine Learning and AI

Machine learning and ai (artificial intelligence) are the related field of computer science but there is a big difference between the two terms (Machine learning and ai) but before comparing machine learning and ai we should learn about what is artificial intelligence and what exactly machine learning is:

Artificial Intelligence:

The word artificial intelligence is comprised of two words “artificial” and “intelligence” where “artificial” means man-made or human created and “intelligence” means the ability to understand or think.

 There are many definitions of artificial intelligence but every definition is related to the fact the artificial intelligence is.

“It is defined as the study to train the computer system to create a power of thinking like human brain thinking”

Artificial intelligence is  a broad field and having included learning, reasoning, and self-correction.

Machine Learning: Machine Learning is the learning in which machines can learn on their own without being explicitly programmed. It is an application of AI that provides the systems with the ability to automatically learn and improve from experience.

Machine learning is a subfield of artificial intelligence, which enables machines to learn from past data or experiences without being explicitly programmed.

According to American scientist “Andrew W. Trask” Deep learning is a subfield of machine learning and some part of machine learning is intersected to artificial intelligence like diagram below:

But Universally accepted concept of machine learning and ai is

Deep learning is a subfield of machine learning which in turn is a subfield of artificial intelligence which  is shown  below in the diagram:

	artificial intelligence	machine learning
	Artificial intelligence is big technology in related scope	Machine learning is a small technology as compared to artificial intelligence
	Artificial intelligence is a superset of machine learning	Machine learning is a subset of artificial intelligence
	Artificial intelligence has three types:     1.     Weak Ai 2.     General AI 3.     Strong Ai	Machine learning has also three types: 1.     Supervised learning 2.     Unsupervised learning 3.     Reinforcement learning
	In AI, we make intelligent systems to perform any a task like a human.	In machine learning trained system for special tasks.
	Ai has two main subsets 1.     Machine Learning 2.     Deep learning	The main subset of Machine learning is 1 Deep Learning
	AI system is concerned about maximizing the chances of success.	Machine learning is for accuracy
	It includes learning, reasoning, and self-correction.	It includes learning and self-correction when introduced with new data.
	Ai works on all type of data.	Machine learning works with Structured and semi-structured data.
	Siri, customer support using catboats, google assistant are the example of machine learning.	Google search algorithms, Facebook auto friend tagging suggestions.
	The goal of AI is to make a smart computer system like humans to solve complex problems.	ML is to allow machines to learn from data so that they can give accurate output.
	Ai is decision making.	ML allows the system to learn new things from data.