What is Artificial Intelligence, Machine Learning, Deep learning and Importance of AI in 21st Century

In recent years cognitive science transform into the robotics using the neural network technology to increase the capabilities to reduce the human efforts. Google, IBM, Facebook are using machine learning algorithms to build the product infect artificial intelligence working in many fields like health care, entertainment, building the product and many more. We can use this technology in very easy way. The customize according to the human mentality.

In 21st century machine learning and deep learning are everything in technology. It is most important tool build a technology who can learn, precept, interact, read through the algorithms and interact like human. Let’s see brief concept of artificial intelligence, machine learning, and Deep leaning.

“ Artificial intelligence is a broad concept to learn human interaction by machine through machine learning algorithms. AI contains machine learning and deep learning. It depends on what human interact and what reverts by it. AI is broad and super technology to do easy way”

AI is super technology in today’s scenario working through the neural network which direct interact with the human brain.

 The term of neural network comes from biology; It can be possible to can not the things with machine. It is term of artificial intelligence to understand to live things which face by human on regular basis. Most of the stars like Sunder pichai, Mark zukarburg and Elon musk always talking about artificial intelligence and its future for humans. There some merits and demerits on the basis of long run.

Machine learning is technical concept  and application of artificial intelligence that provides system to learn machine and easy the things through the programming language machine learnig is sub part of AI which will be interact with human There are 3 types of machine learning.

Supervised learning

Unsupervised learning

Reinforcement machine learning

Supervised learning - In the term of supervised learning set of labeled data which the predict the dataset. The machine learning algorithms produced the infrared function to predict the output value. The system is able to provide learning algorithms compare to the output.

Unsupervised Learning- Unsupervised learning algorithms are used when training input neither classified nor labeled unsupervised learning is indicates the how system can infer the to describe the possibility of output.

Reinforcement- reinforcement machine learning algorithms interact with the environment by producing action and discover errors and rewards. It can be trial and error basis. This method to allow to machine determines behavior of special context.

Deep learning is sub section of machine learning that can be interact with programming and make things easy with help of deep leaning algorithms. Input data with some weight undergo with training process and finally get output in deep learning . Deep learning is very deep concept to understand its process and algorithms that can be using many sectors like heath care, In health care sector a lot of experiences done through the deep learning. Eye diagnosis and cancer diagnosis possible by neural networking.

Conclusion: Artificial Intelligence is broad concept that contains machine learning and deep learning and its algorithms. Today AI is working many fields successful. Recently Google are working latest artificial intelligence project named “autoML” In which machines can reproduced itself through the deep learning concepts. There are many positive points and negative point which can be considered in future. Get internship program of AI, Machine learning and Deep learning.