Artificial Intelligence (AI)
artificial intelligence
Artificial Intelligence (AI)
artificial intelligence
Artificial Intelligence

Artificial Intelligence, or AI, have already responded in recent years, but the tendency of watching this continues because the effects of how we live, work and play are in the initial stage. In addition, other branches of AI have improved with machine learning. AI refers to the computer system created to imitate human intelligence and performs the work of recognizing images, lectures or patterns and decisions. AI can do this thing faster and more accurately than human beings.

“Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.”

AI is widely used since 1956. In fact, six Americans out of ten uses services such as navigation apps, streaming services, personalized smartphones, side-sharing apps, home personal assistant, and smart home devices. In addition to consumer use, AI is used for scheduling trains, evaluating business risk assessment, forecasting, and improving energy efficiency, among other money-saving activities. According to Herbert Simon’s prediction..

“machines will be capable, within twenty years, of doing any work a man can do”

Herbert Simon predicted
Processor

AI is a major part of automation due to the fact that we are widely referred to as automation, and potential work losses. Experts say that by the year 2030 Automation will end 73 million jobs. However, automation is creating employment especially in AI. Experts predicts that by 2020, there will be 23 million jobs in AI in the field of Programming, testing, support and maintenance sectors. AI is one kind of architect. Therefore it is needed vast number of information scientist, skilled professionals in coming decades.

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include:

  • Speech recognition
  • Image recognition
  • Learning
  • Planning
  • Problem solving

So the research associated with artificial intelligence is highly technical and specialized subjects. And there are many core problems of artificial intelligence include programming computers for certain traits such as:

  • Knowledge
  • Reasoning
  • Problem solving
  • Perception
  • Learning
  • Planning
  • Ability to manipulate and move objects

Machine learning is also a core part of AI.

Machine Learning

Learning without any kind of supervision requires an ability to identify the patterns in streams of inputs. Whereas learning with adequate supervision involves classification and numerical regressions. Classification determines the category an object belongs to and regression deals with obtaining a set of numerical input or output examples. Thereby discovering functions enabling the generation of suitable outputs from respective inputs. Mathematical analysis of machine learning algorithms and their performance is a well-defined branch of theoretical computer science often referred to as computational learning theory.

Therefore, we will have to study extensively to know about AI. And take training with it.

So we need to study on the following fields

  • Logistic Regression
  • Artificial Neural Network
  • Machine Learning (ML) Algorithms
  • Machine Learning

So, Finally to master in AI one have to solve real AI problems through programming with Python

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  1. Thanks for the article

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