Cognitive Computing Fundamentals
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Questions and Answers

What is the primary goal of the supervised learning technique?

  • To produce outputs without any numerical values
  • To map the input variable(x) with the output variable(y) (correct)
  • To minimize errors in input data
  • To classify outputs into different categories

    • Which of the following is a real-world application of supervised learning?

  • Image Compression
  • Data Mining
  • Risk Assessment (correct)
  • Network Security

    • What type of problems are addressed in Supervised learning?

  • Classification and Regression (correct)
  • Clustering and Decision Trees
  • Neural Networks and Deep Learning
  • Support Vector Machines and Natural Language Processing

    • What is the output of the post-processing stage in machine learning?

    <p>A final output that is likely to be needed</p> Signup and view all the answers

    How many main types of machine learning are there, based on the methods and way of learning?

    <p>Four</p> Signup and view all the answers

    What is the purpose of algorithms in machine learning?

    <p>To assign a class to the pattern based on the output</p> Signup and view all the answers

    What is the primary objective of Cognitive Computing?

    <p>To initiate and enhance human-machine interaction to accomplish complex tasks</p> Signup and view all the answers

    What is the result of machines learning human behavior and feelings?

    <p>Machines can recreate the human thought process in a computer model</p> Signup and view all the answers

    What is an example of Cognitive Computing?

    <p>Google Assistant</p> Signup and view all the answers

    What is the main application of Cognitive Computing?

    <p>To improve solutions at the lowest cost possible</p> Signup and view all the answers

    What is the primary function of Computer Vision?

    <p>To enable the computer to identify, analyse, and interpret visual input</p> Signup and view all the answers

    What is the process by which Cognitive Computing acquires knowledge?

    <p>Natural language analysis and evidence-based learning</p> Signup and view all the answers

    What is the primary function of sensors in an agent?

    <p>To detect changes in the environment and send information</p> Signup and view all the answers

    What is the term for the component of machines that converts energy into motion?

    <p>Actuators</p> Signup and view all the answers

    What type of agent has eyes, ears, and other organs as sensors and hand, legs, and vocal tract as actuators?

    <p>Human-Agent</p> Signup and view all the answers

    What is the cycle that an agent operates in?

    <p>Perceiving, thinking, acting</p> Signup and view all the answers

    What is the primary function of actuators in an agent?

    <p>To move and control a system</p> Signup and view all the answers

    What is the term for devices that can extract visual information from various formats such as images, videos, and documents?

    <p>Deep Learning Systems</p> Signup and view all the answers

    What is pattern recognition primarily concerned with?

    <p>Automatic recognition of patterns from raw data</p> Signup and view all the answers

    What type of data is used to train a system to categorize data without prior labeling?

    <p>Training data</p> Signup and view all the answers

    What is the primary purpose of data pre-processing in pattern recognition?

    <p>To filter out unwanted data and noise</p> Signup and view all the answers

    Which step in the pattern recognition process involves identifying recurring patterns in the data?

    <p>Feature extraction</p> Signup and view all the answers

    What is an example of a pattern in pattern recognition?

    <p>A recurring sequence of events</p> Signup and view all the answers

    What is the purpose of filtering out pre-existing patterns in the input data during pre-processing?

    <p>For further reference in the feature extraction stage</p> Signup and view all the answers

    What additional feature do utility-based agents provide compared to goal-based agents?

    <p>A utility measurement that rates each possible scenario</p> Signup and view all the answers

    What is the primary function of the learning element in learning agents?

    <p>To use feedback on performance measures to improve gradually</p> Signup and view all the answers

    What is a common characteristic of intelligent agents such as Alexa and Siri?

    <p>They use sensors to perceive the environment</p> Signup and view all the answers

    What is an example of an intelligent robotic agent?

    <p>An autonomous vehicle</p> Signup and view all the answers

    What is the primary function of a goal-based agent?

    <p>To include goal information or information about desirable situations</p> Signup and view all the answers

    What is a common application of intelligent agents?

    <p>AI assistants</p> Signup and view all the answers

    Study Notes

    Machine Learning

    • Machine learning is divided into four main types: Supervised Learning, Unsupervised Learning, Reinforcement Learning, and Cognitive Computing
    • Supervised Learning aims to train algorithms to describe input data and produce outputs effectively, and is used in applications like Risk Assessment, Fraud Detection, and Speech Recognition
    • Supervised Learning can be classified into two types of problems: Classification and Regression
    • Cognitive Computing enhances human-machine interaction to accomplish complex tasks and helps in problem-solving by recreating human thought processes in a computer model

    Cognitive Computing

    • Cognitive Computing combines artificial intelligence with human-like actions and data processing skills to make accurate decisions
    • It is used in areas where solutions must be improved at the lowest cost possible
    • Google Assistant is a perfect example of cognitive computing

    Computer Vision

    • Computer Vision is an important component of artificial intelligence that enables the computer to identify, analyze, and interpret visual input from real-world pictures and visuals
    • It uses deep learning and pattern recognition to extract visual information from various data formats

    Intelligent Agents

    • An agent is anything that perceives its environment through sensors and acts upon that environment through actuators
    • Agents can be Human-Agents, Robotic Agents, or Software Agents
    • Sensors detect changes in the environment and send information to other devices, while actuators convert energy into motion
    • Examples of intelligent agents include Alexa, Siri, Google Assistant, and Autonomous vehicles

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    Description

    Test your understanding of cognitive computing, its objectives, and its applications in human-machine interaction, problem-solving, and machine learning. This quiz covers the basics of cognitive computing, including its role in identifying right and wrong gestures, classifying spam and fraud activities, and recreating human thought processes in computer models.

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