Sign up now
to enroll in courses, follow best educators, interact with the community and track your progress.
Download
Introduction to Artificial Intelligence
47 plays

More
A very basic discussion of artificial intelligence and it's features.

Sudipt kumar
I am Sudipt. Written 3 Civil service mains. Other exams cleared - SSC CGL, GATE, CAT, FTII, IISc, TISS. I love playing table tennis. I have

U
Unacademy user
  1. Artificial Intelligence . Definition Types/ Subtypes ARTIFICIAL INTELLIGENCE . Application Consequences * Conclusion


  2. Definition Artificial intelligence (Al) is the ability of a machine or a computer program to think and learn


  3. Is Al = ML(Machine Learning) ?? AI = ML (Machine Learning ) + NLP (Natural Language Processing ) + NN (Neural Network) + DL (Deep Learning) machine le redictive ana translation natural language classification & clusterin information extraction to text Artificial Intelligence (AI) text to ex ems planning, scheduling & optimization ima tion vision machine vision


  4. Types of Machine Learning Machine Learning - development of computer programs that . can access data and learn from it automatically. Types of Machine Learning - At a Glance Supervised Learning Unsupervised Learning Reinforcement Learning . An approach to Al . Reward based learning . Learning form +ve & +ve reinforcement - Makes machine Learn explicitly . Data with clearly defined output is given . Direct feedback is given . Predicts outcome/future - Resolves classification and regression problems . Machine understands the data (Identifies patterns/structures) Evaluation is qualitative or indirect Machine Learns how to act in a certain Does not predict/find anything specific . To maximize rewards TrainingE Rewards inputs-outputs outputs Inputs Inputs-


  5. Other Types Natural Language Processing. . Neural Network Deep Learning Simple Neural Network Deep Learning Neural Network dendrites fix) cell body terminal ason Snapse Input Layer Hidden Layer Output Layer


  6. Application Possible applications for Artificial Intelligence Natural language processing Simulation Modelling Deep Learning Virtual Personal Assistant Machine Translation Visualization Social Network Analysis Artificial Intelligence Audio Analytics Machine Learning Graph Analytics Image Analytics Internet of Things Robotics & Soft Robotics