What is AI and ML.
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Artificial Intelligence
Artificial intelligence is a field of computer science which makes a computer system that can mimic human intelligence. It is comprised of two words “Artificial” and “intelligence“, which means “a human-made thinking power.” Hence we can define it as,
The Artificial intelligence system does not require to be pre-programmed, instead of that, they use such algorithms which can work with their own intelligence. It involves machine learning algorithms such as Reinforcement learning algorithm and deep learning neural networks. AI is being used in multiple places such as Siri, Google?s AlphaGo, AI in Chess playing, etc.
Based on capabilities, AI can be classified into three types:
Currently, we are working with weak AI and general AI. The future of AI is Strong AI for which it is said that it will be intelligent than humans.
Machine learning
Machine learning is about extracting knowledge from the data. It can be defined as,
Machine learning enables a computer system to make predictions or take some decisions using historical data without being explicitly programmed. Machine learning uses a massive amount of structured and semi-structured data so that a machine learning model can generate accurate result or give predictions based on that data.
Machine learning works on algorithm which learn by it?s own using historical data. It works only for specific domains such as if we are creating a machine learning model to detect pictures of dogs, it will only give result for dog images, but if we provide a new data like cat image then it will become unresponsive. Machine learning is being used in various places such as for online recommender system, for Google search algorithms, Email spam filter, Facebook Auto friend tagging suggestion, etc.
It can be divided into three types:
Artificial intelligence
Artificial intelligence generally refers to processes and algorithms that are able to simulate human intelligence, including mimicking cognitive functions such as perception, learning and problem solving. Machine learning and deep learning (DL) are subsets of AI.
Specific practical applications of AI include modern web search engines, personal assistant programs that understand spoken language, self-driving vehicles and recommendation engines, such as those used by Spotify and Netflix.
Machine Learning
In a nutshell, machine learning is a subset of AI that falls within the “limited memory” category in which the AI (machine) is able to learn and develop over time.
There are a variety of different machine learning algorithms, with the three primary types being supervised learning, unsupervised learning and reinforcement learning.
Artificial intelligence (AI)
Artificial intelligence (AI) is an area of computing that emphasizes the creation of intelligent machines that function and react like humans. Some of the activities of machines with artificial intelligence are designed to include:
Artificial intelligence is a branch of computing that aims to create intelligent machines. It has become an essential part of the technology industry.
Machine Learning (ML)
The above definition encapsulates the ideal objective or ultimate aim of machine learning, as expressed by many researchers in the field. The purpose of this article is to provide a business-minded reader with expert perspective on how machine learning is defined, and how it works. Machine learning and artificial intelligence share the same definition in the minds of many however, there are some distinct differences readers should recognize as well. References and related researcher interviews are included at the end of this article for further digging.
AI vane ko jasle … Surrounding lai analyze garxa ani tei anusar saar kura haru sikxa , bujxa …and can learn by itself.. eg:- like human babies haru…tinur le ni surrounding herey raw sikxa ni ta hai…..
ML vane ko chai…. Euta fix pattern follow garxa…. Yesle afai learn garna sakde na …. Sikauna parxa i.e., some algorithm ko through patterns dinu parxa ani…tesai lai follow garxa.
AI is a technology which enables a machine to simulate human behavior and ML is a subset of AI which allows a machine to automatically learn from past data without programming explicitly.
I can see a lot of detailed answers on this query to get started in AI and ML. But if you still want more info, you can always google it.
Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn. It is a field of computer science that aims to create intelligent machines that work and react like humans.
Machine learning (ML) is a subset of AI that deals with the creation of computer programs that can learn and improve on their own. ML is based on the idea that computers can learn from data, identify patterns, and make predictions.