Introduction to Machine Learning

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Questions and Answers

What is the relationship between machine learning and artificial intelligence?

  • Machine learning is a subset of data analysis, while artificial intelligence involves the interpretation of patterns and trends.
  • Machine learning and artificial intelligence are synonymous.
  • Machine Learning is a type of artificial intelligence. (correct)
  • Artificial intelligence is used only in businesses, while machine learning is used in all situations involving large amounts of data.

What is one advantage of using computers for data analysis?

  • It requires human intervention to find meaningful patterns and trends in data.
  • It allows for easier and faster data analysis, especially with a small amount of data. (correct)
  • It makes data analysis slower and more complex.
  • It is only effective for analyzing small amounts of data.

What is 'Big Data'?

  • A term used to describe the large amount of data, especially on the internet. (correct)
  • Data that is often found on individual computers.
  • Data generated by businesses only.
  • Data that is too small to be analyzed by computers.

Why was cloud computing developed?

<p>To help individual computers process large amounts of data on their own. (A)</p> Signup and view all the answers

What is the term for when people freely share their code online?

<p>Open source (D)</p> Signup and view all the answers

In which of the following areas is machine learning NOT used?

<p>Retail shopping (A)</p> Signup and view all the answers

What is the first type of machine learning discussed in the text?

<p>Supervised machine learning (A)</p> Signup and view all the answers

What is the term used for a program that can find patterns and make decisions based on a set of data?

<p>Model (C)</p> Signup and view all the answers

In supervised machine learning, what do we call the pictures of stop signs and other road signs given to the model?

<p>Input data (C)</p> Signup and view all the answers

What do we call the label that represents what we want the model to be able to identify later in supervised machine learning?

<p>Target label (B)</p> Signup and view all the answers

Flashcards

Machine Learning

A subset of AI focused on algorithms that learn and predict from data.

Artificial Intelligence (AI)

A broader field encompassing reasoning, problem-solving, and natural language processing.

Advantage of computers in data analysis

Quickly and accurately process vast datasets to find insights and trends.

Big Data

Extremely large datasets analyzed to reveal patterns and trends in human behavior.

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Cloud Computing

Provides scalable data storage and processing over the internet.

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Open Source

Freely sharing code online for collaboration and improvement.

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Areas machine learning doesn't apply

Fields needing subjective judgment/personal experience (e.g., arts, humanities).

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Supervised Learning

Machine learning where models are trained on labeled data for predictions.

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Algorithm

A program that finds patterns and makes decisions based on data.

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Training Data

The pictures of stop signs and other road signs provided to the model.

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Study Notes

Relationship between Machine Learning and Artificial Intelligence

  • Machine learning is a subset of artificial intelligence (AI) that focuses on the development of algorithms that enable computers to learn from and make predictions based on data.
  • AI encompasses broader concepts, including reasoning, problem solving, and natural language processing, while machine learning specifically deals with learning patterns from data.

Advantage of Using Computers for Data Analysis

  • Computers can process vast amounts of data quickly and accurately, enabling analysts to uncover insights and trends that would be challenging to detect manually.

Big Data

  • Big data refers to extremely large datasets that may be analyzed computationally to reveal patterns, trends, and associations, especially in connection with human behavior and interactions.

Development of Cloud Computing

  • Cloud computing was developed to provide scalable data storage and processing capabilities, allowing users to access and manage resources over the internet without the need for physical hardware.

Code Sharing Term

  • The practice of freely sharing code online is known as open source, allowing collaboration and community contributions to improve software projects.

Areas Not Using Machine Learning

  • Machine learning is not typically applied in fields requiring subjective judgment or personal experience, such as the arts or humanities.

First Type of Machine Learning

  • The first type of machine learning discussed is supervised learning, where the model is trained on labeled data to make predictions.

Program Finding Patterns

  • A program capable of finding patterns and making decisions based on data is referred to as an algorithm, which is fundamental in machine learning applications.

Input Data in Supervised Learning

  • In supervised machine learning, the pictures of stop signs and other road signs provided to the model are known as training data.

Label in Supervised Learning

  • The label that indicates what the model should identify later in supervised machine learning is called a target or ground truth, delineating the expected output for the model's learning process.

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