We all are under the age of Technology and computing world where everything is going to come within just one click. In this modern world every field of life's person want to do our work in less time, big profit and also in less investment. Therefore every person of different field use latest technology tool in their specific field to work with more margin!
Artificial Intelligence, Machine leaning and deep learning are the most controversial topic of this era Lets' understand what these are and where it is being used for what purpose and what are the differences among them.
Background:
AI (Artificial Intelligence) is the big domain under which different sub domains, they hold them together to implement. Two of them are very powerful subset of AI namely Machine learning and deep learning. Most of the websites, games and Softwares are using this techniques to secure their time and for easily manage them, so let’s understand the basic definition and differences among them.
History and Reason:
The word artificial intelligence is not new, it was coined in 1956, till now a long journey it covered to become more powerful and popular these days. To get popular these day reason to increase in Data Volume, latest and advance algorithms and day by day new hardware component are being made. Volume of data increase day by day According to Statistics by 2020, the volume of big data will increase from 4.4 zetta bytes to 44 zetta bytes or 44 trillion GBs of data. To handle these amount of volume's data we cannot do work with old algorithm, we need Advance and latest algorithm which handle the problem among large amount of data that's why we move towards artificial intelligence to make better result and predication. Therefore a lot of companies move towards AI according to the problem definition For example in the field of Computer, FB use AI for predication and recognition, Google and other search engine use AI for it advancement.
Artificial Intelligence:
Artificial Intelligence is not only a field of Computer science rather it is technique which allows to machines act as like human by coping their behavior and nature. Here Intelligence means that get knowledge through its previous experience. Also, Some definitions of AI. They are organized into four categories:
· Systems that think like humans.
· Systems that act like humans.
· Systems that think rationally.
· Systems that act rationally.
Example of AI:
AI base Car, Self-driving car, modern Robot, Talking Google Alu etc…
Machine learning:
What is Machine Learning?
If you observe from child which is under 5 years, if he unwillingly touch the hot iron he rapidly move his hand from it due to hot surface of iron, and if you force him to do it again he never ever do it again also if he see this iron again the maximum Chances he never try to repeat it action again which he was done last time. According to this real life example, naturally human brain has the capability to store the action and through this action he got experience, and by this experience he learn. The ability of learning human through their experience is said to Intelligency BY NATURAL. Storing this ability into the Machine is called Machine learning concept.
Example:
If you got shop online from any online shopping website, you observed that when you shop any product then the website suggest you to shop other product which is related to that product which is normally inherited i.e. tie with Shirt, Bald with pant etc…
Also in the bank, online calling and SMS system for getting loan form bank… Bank Software sent those client of bank first who take loan before through its past experience, and machine learning concept.
The Algorithm of Machine learning follow the data driven concept rather than explicitly programming concept, that’s why concept and result is better than others.
Deep Learning:
As this Article said, DL is the subset of AL, but DL is also the subset of ML, means the algorithms inspired by the function of brains which is called Neural Network. Actually every human has brain, inside the brain there is Neuron which has the capability to remembrance the fact.
So, which is the function of neuron of human brain:
- Get the signals of information
- Meshing the incoming signals to identify whether or not the signal should be passed along.
- Target the cells through communicate signals (other Neurons)
This neuron use the three layers
Input Layer (it receives the all the input)
Hidden Layer (between input the output layers, its transform the input layer in that format, which output layer use it)
Output Layer (through two layer output layer easily identify the input)
The concept of this act storing in the machine is Called Deep Learning concept.
Example:
Neuron help human to identify, get understand about the different between Dog and Cat easily through his physical face, activity and human’s experience. But can machine identify it YES, though deep learning concept.
By using facial features of animal, Machine can identify which one is Dog between by their noise, ear, mouth…
It you can any query Feel free to ask, write you comment below the post.
In the upcoming Post I will explain about the Deep learning in Detail with its types…
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