Podcast
Questions and Answers
What was the first machine learning application that became mainstream in the 1990s?
What was the first machine learning application that became mainstream in the 1990s?
What is the primary goal of this chapter?
What is the primary goal of this chapter?
What is an example of a machine learning application that has become a part of daily life?
What is an example of a machine learning application that has become a part of daily life?
What is a fundamental concept in machine learning that every data scientist should know?
What is a fundamental concept in machine learning that every data scientist should know?
Signup and view all the answers
What is NOT a characteristic of a machine that has 'learned' something?
What is NOT a characteristic of a machine that has 'learned' something?
Signup and view all the answers
What is the primary goal of machine learning?
What is the primary goal of machine learning?
Signup and view all the answers
What is the term for the examples used to train a machine learning system?
What is the term for the examples used to train a machine learning system?
Signup and view all the answers
What is the term for the part of a machine learning system that learns and makes predictions?
What is the term for the part of a machine learning system that learns and makes predictions?
Signup and view all the answers
What is the purpose of a performance measure in machine learning?
What is the purpose of a performance measure in machine learning?
Signup and view all the answers
Which of the following is an example of machine learning?
Which of the following is an example of machine learning?
Signup and view all the answers
Study Notes
Machine Learning: A Brief Overview
- Machine learning is no longer science fiction and has been around for decades in some specialized applications, such as optical character recognition (OCR).
- The first mainstream ML application was the spam filter, which improved the lives of hundreds of millions of people in the 1990s.
What is Machine Learning?
- Machine learning is the science (and art) of programming computers so they can learn from data.
- It is the field of study that gives computers the ability to learn without being explicitly programmed.
- A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.
Key Concepts in Machine Learning
- A training set consists of examples used to learn, such as spam emails and regular emails.
- Each training example is called a training instance (or sample).
- The part of a machine learning system that learns and makes predictions is called a model.
- Examples of models include neural networks and random forests.
Evaluating Machine Learning Systems
- The performance measure P needs to be defined, such as the ratio of correctly classified emails (accuracy).
- Accuracy is often used in classification tasks.
What Does Not Constitute Machine Learning
- Simply downloading a copy of all Wikipedia articles does not constitute machine learning, as it does not improve the computer's ability to perform a task.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Description
This quiz explores the evolution of machine learning from its early days to its current mainstream use. Discover how machine learning has improved the lives of millions of people.