Artificial Intelligence and Predictive Analysis

EDUCBA Bridging the Gap

Last Updated on July 29, 2023 by GeeksGod

Artificial intelligence is the simulation of human intelligence through machines and mostly through computer systems. Artificial intelligence is a sub field of computer. It enables computers to do things which are normally done by human beings. This course is a comprehensive understanding of AI concepts and its application using Python and iPython.

The training will include the following;

What is Artificial Intelligence?IntelligenceApplications of AIProblem solvingAI search algorithmsInformed (Heuristic) Search StrategiesLocal Search AlgorithmsLearning SystemCommon SenseGenetic algorithmsExpert SystemsScikit-learn module

What is Artificial Intelligence?

The first idea of artificial intelligence was given by scientist Mr. Alan Turing around the time of the second world war. He suggested building a machine that can mimic the understanding of human intelligence and act like a human.

Artificial Intelligence today is used in all fields of work specifically banking, insurance, manufacturing, retail, logistics and so on. Its application in medical diagnosis, robots, remote sensing, etc. is a high state of the art.

AI as a subject includes the use of computer science, mathematics, statistics and domain expertise.

AI has great advantages and so of them are mentioned below:

It provides greater precision and accuracy on detection and predictionRobots trained on AI can be used to do the works which are difficult for usAI has created newer technological breakthroughs in our lifeFraudulent activities such as credit card transactions have become easier with AI technologiesAI can be used in time-consuming tasks and it can save a lot of time by becoming more efficient.

You will be able to build the following as a practical project: –

Classifiers of various typesLogic Programming based optimizersHeuristic Search performed on NP-complete problemsNatural Language Processing on text dataMachine Learning in general for several kinds of dataLogic and reasoning for model evaluation and interpretationRule-based Programming for business use casesDecision Making based on AI and MLStochastic methods such as time series and HMM

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What you will learn :

1. Learn What is Artificial Intelligence, Intelligence and Applications of AI.
2. Learn Problem solving using AI, AI search algorithms, Informed (Heuristic) Search Strategies.
3. Learn Local Search Algorithms, Learning System, and Common Sense
4. Learn Genetic algorithms, Expert Systems, and Scikit-learn module

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