Artificial Intelligence ,Machine Learning & Deep learning
Artificial Intelligence ,Machine Learning and Deep Learning The Three very hot Buzz words swirling around . And many People are confused how to Differentiate Between this three terms . Raise Your hand if You are also among them.
Ok Well..Bring down your hand Buddy in this series I will cover All three terms in simpler way from Beginner point of view .
So Let’s Start The Journey
What is This Artificial Intelligence?
Artifificial + Intelligence = AI
Top 3 Most Popular Ai Articles:
1. Google will beat Apple at its own game with superior AI
So here Artificial can be compared to Machines and Intelligence of Humans
In very Simpler words we can say Artificial Intelligence is — Human Intelligence Exhibited by Machines . Artificial Intelligence is the capability of a machine to imitate intelligent human Behaviour.AI is accomplished by studying how human brain thinks and how humans learn,decide,and work while trying to solve a problem.Outcomes of this Study is used as a basis of developing intelligent software and system.
So in Nutshell we can say AI is Building A computer system that is able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages etc.
AI broadly branches into two- general and narrow
General AI empowers the machine the same characteristics of human intelligence where as Narrow which are able to perform specific tasks of Human Intelligence Like face recognition in Facebook is an implementation of narrow AI
Machine Learning
Machine learning is simply a way of achieving AI.
Arthur Samuel coined the phrase “Machine Learning”in 1959, defining it as “the ability to learn without being explicitly programmed.” Machine Learning is a subset of artificial intelligence. It allows the machines to learn and make predictions based on its experience(data).we can say It is a method of training algorithms such that they can learn how to make decisions.
Training in machine learning take place by giving a lot of data to the algorithm and allowing it to learn more about the processed information
For Example After the algorithm is fed with the training data, it will learn the differing characteristics between an orange and an apple. Therefore, if provided with data of weight and texture, it can predict accurately the type of fruit with those characteristics. Machine learning can be Broadly categorized into Three Supervised Learning,Unsupervised Learning and Reinforcement Learning.
Deep Learning
Deep learning is a subset of ML we can say it’s simply a technique for realizing machine learning.
DL algorithms are roughly inspired by the information processing patterns found in the human brain. Whenever we receive a new information, our brain will try to compare it to a already known item before making sense of it In similar fashion DL algorithm also work .Whenever the term deep learning is used, it is generally referred to the deep artificial neural networks, and at some times deep reinforcement learning. Deep learning was inspired by the structure and function of the brain We can say ANN are inspired by neurons in brains and connection existing between them ANN has discrete layers Each layer takes particular subject to learn It is this layering that gives deep learning its name, depth is created by using multiple layers as opposed to a single layer .Example, image recognition in machines is trained via deep learning.
So In Nutshell we can say.
AI means getting a computer to mimic human behavior in some way.
Machine learning is a subset of AI, and it consists of the techniques that enable computers to figure things out from the data and deliver AI applications.
Deep learning, meanwhile, is a subset of machine learning that enables computers to solve more complex problems.
In Next series will be covering Deep Learning in Detail Till then Happy Learning…
