A good way to understand AI is to compare it with human intelligence. AI is a broad branch of computer science which attempts to create systems that can function intelligently and independently. Humans can speak andlisten to communicate through language. AI is field of speech recognition and much of speech recognition is statistically based. This is why AI is called statistical learning. Humans can read and write text in a language. AI is field of NLP or natural language processing. Humans can see with their eyes and process what they see.  AI is field of computer vision. Humans recognize a scene around them through their eyes which create images of that world. Computer vision is dependent on image processing. Humans can understand their environment and move around freely. AI is a field of robotics. Humans have the ability to see patterns such as grouping of like objects. AI is a field of pattern recognition. Machines are better at pattern recognition because they can use more data and dimensions of data. AI is a field of machine learning. Human brain is a network of neurons that are used to learn things. If structure and the function of the human brain is replicated then cognitive capabilities can be developed in machines. AI is field of neural networks (NN). If these networks are more complex and deeper and it is used to learn more complex things then deep learning is developed in machines.
 There are different kinds of deep learning in machines, which are basically different techniques to replicate what human brain does. If user gets the network to scan images from left to right and top to bottom then this is called convolution neural network (CNN). CNN is used to recognize objects in a scene. Humans can remember the past. There are neural networks that canremember limited past. These are called recurrent neural networks (RNN). There are two ways in which AI works. One is symbolic based and another is data based. Data based AI is also called Machine learning. In this lots of data needs to be fed to machine before it can learn. This can be understood better using an illustration. If user has data related to sales versus advertisement spend and a pattern is visible and if machine can learn this pattern then it can make predictions based on what it has learnt. While humans can learn in 1, 2 and 3 dimension machines can learn in hundreds or thousands of dimensions. This is why machines can learn high dimensional data and determine patterns. Once machines learn patterns, they can make predictions that humans cannot even come close to. These machine learning techniques can be used to do classification or prediction. Leaning algorithms used for AI can be classified in another way. If algorithm is trained with data that also contains answer, then it is called supervised learning. If user trains an algorithm with data which don’t contain the answer and machine itself needs to figure out the patters then it is called unsupervised learning. If user gives some goal to algorithm and wants that algorithm to achieve that goal through trial and error method, then it is called reinforcement learning.                     
Best AI training institute in Noida

There are several reputed AI training institutes in Delhi/NCR. Among these some are located in Noida too. Out of these, Sky Infotech, Noida-64 is one IT training institute that has earned good reputation on all four main parameters- Curriculum, Faculty, Placement and Infrastructure, that are usually used to judge a institute. It has specialist AI course instructor with years of IT training experience. Course material is exhaustive and includes elementary to advanced concepts. Usp of this institute is placement. Regular placement drives (Campus interviews) are held and apart from that persistent interview referrals are provided to trainees. Decent infrastructure of the institute includes AC classrooms and computer lab. Flexible classes are held between 9am and 6pm on week days and weekends both.

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