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Basic of Artifical Intelligence

To understand the purpose of introducing intelligent human behavior to the computer system and the risks involved.


OVERVIEW

To understand the purpose of introducing intelligent human behavior to the computer system and the risks involved. To develop an understanding of the logic and designs behind developing and implementing AI tools. Along with a practical application of the concept.




CURRICULUM

Objective:

Introduction to Artificial Intelligence

Topics:

  • History of Artificial Intelligence
  • Linear Classification
  • Formalism
  • Neural Networks
  • Unsupervised Learning, K-Means

Objective:

Searches

Topics:

  • Uninformed searches
  • A* and heuristics
  • Adversarial Search & Constraint Satisfaction
  • Local Search and Optimizations

Objective:

Logic & Decision

Topics:

  • Propositional Logic and Satisfiability
  • Propositional Logic for Planning
  • Probability
  • Markov Decision Processes 

Objective:

Baysian Networks

Topics:

  • Baysian Inference
  • Marginal Independence
  • Hidden Markov Model

Objective:

Application

Topics:

  • NLP (Neuro-linguistic programming)
  • Vision, Robotics


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Batch Date Location Timing Apply Now
01-Jun-18 09:00-12:00 APPLY NOW
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CERTIFICATION

To understand the purpose of introducing intelligent human behavior to the computer system and the risks involved. To develop an understanding of the logic and designs behind developing and implementing AI tools. Along with a practical application of the concept.


Course Fee : ₹ 40000

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COURSE TUTORS

Prakhar Singh

6 years of experience in new product development in L&T Finance and cardekho. He is a continuous learner and AI professional working on several AI and Automation based projects.


For Corporate & Bulk Booking

Any Corporate, Schools and Colleges are eligible for this course.

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REQUIRED TOOLS

Keras

The Python Deep Learning library

TensorFlow

An open source machine learning framework for everyone

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