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[100% Off] Artificial Intelligence and Predictive Analysis Free Course Coupon

[100% Off] Artificial Intelligence and Predictive Analysis  Free  Course Coupon

Description

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?

  • Intelligence

  • Applications of AI

  • Problem solving

  • AI search algorithms

  • Informed (Heuristic) Search Strategies

  • Local Search Algorithms

  • Learning System

  • Common Sense

  • Genetic algorithms

  • Expert Systems

  • Scikit-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 prediction

  • Robots trained on AI can be used to do the works which are difficult for us

  • AI has created newer technological breakthroughs in our life

  • Fraudulent activities such as credit card transactions have become easier with AI technologies

  • AI 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 types

  • Logic Programming based optimizers

  • Heuristic Search performed on NP-complete problems

  • Natural Language Processing on text data

  • Machine Learning in general for several kinds of data

  • Logic and reasoning for model evaluation and interpretation

  • Rule-based Programming for business use cases

  • Decision Making based on AI and ML

  • Stochastic methods such as time series and HMM

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