ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

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 Shifting the focus from the printed version to the technological version, humans have gained the ability to create something non-identical using machines which are the outcome called artificial intelligence. With the invention of computers and machines, their use by humans has been growing immensely, shaping a new version of interaction among them. Humans have developed the power of computer systems in terms of their diverse working domains, their increasing speed, and reducing size with respect to time.

ARTIFICIAL INTELLIGENCE

In consonance with John McCarthy, Artificial Intelligence is “The science and engineering of making intelligent machines, especially intelligent computer programs”.

 Artificial intelligence is a way of making a computer, a computer controlled Robot or a software think intelligently parallel to the thinking of the human beings. AI is adept at studying how humans think, learn and decide and work while trying to find a solution to the problem which can be used as an outcome to develop intelligent software and systems.

IDEOLOGY

As a spectator, we wonder whether a computer can think like humans do? This intention and curiosity led to the development of artificial intelligence creating similar intelligence in machines.
One of the best examples is the human that looks almost like a robot –Sophia, the robot was built to mimic social behaviors and inspire feelings of love and compassion in humans and also something more as human thinks.


GOALS OF AI

     Creating Expertized Systems:  Manufacturing such systems that contribute intelligent behavior by learning, demonstrating, explaining and advising its users.

     Implementing Human Behaviour in Machines: Generating machines similar to that of humans with regard to their thinking, understanding, learning and working abilities.

AI TECHNIQUES
The techniques covered are case-based reasoning, rule-based systems, artificial neural networks, fuzzy models, genetic algorithms, cellular automata, multi-agent systems, swarm intelligence, reinforcement learning, and hybrid systems.
AI APPLICATIONS
AI has acquired dominance in various fields particularly in applications such as:

ü  GAMING
ü  Natural language processing
ü  Expert systems 
ü  Vision systems
ü  Speech recognition 
ü  Handwriting recognition
ü  Intelligent robots

COURSE OFFERED

Artificial Intelligence course provides training in the skills required for a career in AI. You will master Tensor Flow, Machine Learning, and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems.

 APPROACH TO MACHINE LEARNING

The central idea is machine learning, a particular outlook and approach to AI and the hidden agenda behind the recent developments. Instead of programming the computer in every step of its way, machine learning makes use of learning algorithms that make assumptions from data to learn new tasks.


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