Artificial Intelligence and Machine Learning Basics
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Questions and Answers

What is a characteristic of NoSQL databases?

  • Use SQL for data manipulation
  • Support advanced machine learning algorithms
  • Store data differently than relational tables (correct)
  • Store data in tables and rows
  • What type of database focuses on the relation between stored data elements?

  • Relational database (correct)
  • Key-value database
  • Graph database
  • NoSQL database
  • What is a common use of big data analytics?

  • Designing database management systems
  • Storing large amounts of data
  • Creating data visualization tools
  • Analyzing data using machine learning algorithms (correct)
  • What is an example of a relational database?

    <p>Microsoft SQL Server</p> Signup and view all the answers

    What type of database stores data in nodes and edges?

    <p>Graph database</p> Signup and view all the answers

    What is a characteristic of big data?

    <p>Massive and unstructured</p> Signup and view all the answers

    What is a feature of document databases?

    <p>Values can be a variety of types</p> Signup and view all the answers

    What is a common data size range in big data analytics?

    <p>Terabytes to zettabytes</p> Signup and view all the answers

    What is the primary function of Hadoop in Big Data Analytics?

    <p>Storing and analyzing large amounts of data</p> Signup and view all the answers

    Which of the following databases is used to handle chunks of data?

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

    What is the primary function of Talend in Big Data Analytics?

    <p>Data integration and management</p> Signup and view all the answers

    What is the primary function of Spark in Big Data Analytics?

    <p>Real-time processing and analyzing large amounts of data</p> Signup and view all the answers

    What is the primary function of Kafka in Big Data Analytics?

    <p>Distributed streaming platform for fault-tolerant storage</p> Signup and view all the answers

    What is the Internet of Things (IoT) primarily used for?

    <p>Interconnecting physical objects with sensors and software</p> Signup and view all the answers

    What is the purpose of the sensing layer in IoT Architecture?

    <p>Data gathering</p> Signup and view all the answers

    What is the purpose of the Internet gateways and Data Acquisition Systems in IoT Architecture?

    <p>Data transmission</p> Signup and view all the answers

    What is the primary goal of Artificial Intelligence?

    <p>To mimic human intelligence and perform tasks characteristic of humans</p> Signup and view all the answers

    What is the main difference between Machine Learning and Artificial Intelligence?

    <p>Machine Learning is a way to achieve Artificial Intelligence</p> Signup and view all the answers

    What is the primary inspiration behind Deep Learning?

    <p>The structure and function of the human brain</p> Signup and view all the answers

    What is the definition of Data?

    <p>Individual facts, statistics, or items of information</p> Signup and view all the answers

    What is the primary function of a Database Management System (DBMS)?

    <p>To optimize and manage the storage and retrieval of data</p> Signup and view all the answers

    What is one of the benefits of using a Database Management System (DBMS)?

    <p>Data security</p> Signup and view all the answers

    What is the definition of a Database?

    <p>A structured set of data held in a computer's memory or on the cloud</p> Signup and view all the answers

    What is the primary goal of Data Management?

    <p>To manage and use data to make our life better</p> Signup and view all the answers

    Study Notes

    Artificial Intelligence (AI) and Machine Learning (ML)

    • AI involves machines that can perform tasks characteristic of human intelligence.
    • Machine Learning (ML) is a way to achieve AI by "training" algorithms to learn from huge amounts of data.
    • Deep Learning (DL) is an approach to ML, inspired by the brain's structure and function.
    • Artificial Neural Networks (ANNs) mimic the biological structure of the brain.

    Database Management for Data Science

    • Data refers to individual facts, statistics, or items of information, often numeric.
    • A database is a structured set of data held in a computer's memory or on the cloud.
    • Database Management Systems (DBMS) optimize and manage data storage and retrieval.

    Types of Databases

    • Relational databases focus on relationships between stored data elements.
    • Examples of relational databases include Microsoft SQL Server, Oracle, MySQL, and IBM DB2.
    • NoSQL databases store data differently than relational tables, with types including:
      • Document databases (e.g., MongoDB)
      • Key-value databases
      • Wide-column databases
      • Graph databases

    Big Data Analytics

    • Big Data refers to massive amounts of data that cannot be stored, processed, or analyzed using traditional tools.
    • Big data analytics uses advanced techniques against large, diverse data sets, including structured, semi-structured, and unstructured data.
    • Tools used in big data analytics include Hadoop, MongoDB, Talend, Cassandra, Spark, STORM, and Kafka.

    Internet of Things (IoT)

    • The Internet of Things (IoT) describes physical objects embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
    • IoT is an evolution of mobile, home, and embedded applications interconnected to each other.
    • Examples of IoT include adjusting lighting and controlling devices remotely using mobile devices.

    IoT Architecture

    • The four stages of IoT Architecture are:
      1. Sensors and actuators – Sensing layer for Data Gathering
      2. Internet gateways and Data Acquisition Systems – Network layer for Data Transmission
      3. (not specified in the text)

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    Learn the fundamentals of Artificial Intelligence, Machine Learning, and Deep Learning. Understand the differences between AI, ML, and DL and how they are used in decision making.

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