Artificial intelligence.pptx

Artificial intelligence.pptx

• 1.
  Presented by MUHAMMAD AMMAR
• 2.
   Intuition ofAI vs ML vs DL  Artificial Intelligence  Machine Learning  Deep Learning  Data Science
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  Artificial Intelligence Machine learning Deep learning
• 4.
   (AI) isa subfield of computer science .  AI term was coined by JOHN McCARTHY in year 1956s  Artificial Intelligence ,term was meant to describe the goal that machine will be able to have humans like intelligence in futher.
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  1. Applied AI(weak AI ) 2. Generalized AI (Strong AI ) 1)Applied AI (weak AI) perform some specific tasks 2)Generalized AI (Strong AI) acts like human
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   Machine learningis a subset or AI  Machine learning is a set of algorithms that train on a data set to make predictions or take actions in order to optimize some system.
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   Deep learningis a next evolution of machine learning .  The deep lraening was introduced to the machine learning community in 1986.  Deep learning is a subset of machine learning where learning method is based on data representation on feature learning.
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   Artificial Intelligence:Human intelligence exhibited by machines.  Machine learning: An apporch to achieve Artificial Intelligence.  Deep Learning: A technique for implementing machine learning.
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   Data sciencehas an intersection with artificial intelligence but is not a subset of artificial intelligence.  Data science is the art and science of drawing actionable insights from the data.  Some Applictions: Retail,Bank,E-Commerce ,Healthcare and telecom etc
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  Data collection Data preprocessing Data Analyzing Data visualization Model Building Deployment
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  Importing data Data clean Model building Improve Eficiency Test model Train model Prediction
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  THE END