Unsupervised Machine Learning

🎲 Try a Random Question | Total Questions in Quiz: 194 | 🧠 Study this quiz with Flashcards

This question is part of a full practice quiz:

Google Machine Learning Glossary — practice the complete quiz, review flashcards, or try a random question.

🧠 Flashcards (fast review) 🧪 Practice Quiz ⚔️ Challenge a Friend 🥊 📊 View Stats

1. Unsupervised Machine Learning

Feature vector whose values are predominately zero or empty. For example - a vector containing a single 1 value and a million 0 values is sparse. As another example - words in a search query could also be a sparse featureâ€”there are many possible words in a given language - but only a few of them occur in a given query.Contrast with dense feature.
Training a model to find patterns in a data set - typically an unlabeled data set. The most common use of unsupervised machine learning is to cluster data into groups of similar examples. For example - an unsupervised machine learning algorithm can cluster songs together based on various properties of the music. The resulting clusters can become an input to other machine learning algorithms (for example - to a music recommendation service). Clustering can be helpful in domains where true labels are hard to obtain. For example - in domains such as anti-abuse and fraud - clusters can help humans better understand the data. Another example of unsupervised machine learning is principal component analysis (PCA). For example - applying PCA on a data set containing the contents of millions of shopping carts might reveal that shopping carts containing lemons frequently also contain antacids. Compare with supervised machine learning.
A type of classification task that outputs one of two mutually exclusive classes. For example - a machine learning model that evaluates email messages and outputs either "spam" or "not spam" is a binary classifier.
The recommended format for saving and recovering TensorFlow models. SavedModel is a language-neutral - recoverable serialization format - which enables higher-level systems and tools to produce - consume - and transform TensorFlow models. See Saving and Restoring in the TensorFlow Programmer's Guide for complete details.

Unsupervised Machine Learning

❤ If you liked Fatskills, consider supporting us by checking out The Life Manuals You Never Got.

About | Explore | User Guide | Topics | Subjects | Doubt Solver | Career Aptitude Test | Answers | Free Tools | What Should We Know?
Privacy | Terms |

Without work one finishes nothing. - Ralph Waldo Emerson
© 2026 Fatskills.com

All trademarks, logos and brand names are the property of their respective owners. All company, product and service names used in this website are for identification purposes only. Use of these names, trademarks and brands does not imply endorsement.

Unsupervised Machine Learning

❤ If you liked Fatskills, consider supporting us by checking out The Life Manuals You Never Got.

About | Explore | User Guide | Topics | Subjects | Doubt Solver | Career Aptitude Test | Answers | Free Tools | What Should We Know? Privacy | Terms |

Without work one finishes nothing. - Ralph Waldo Emerson© 2026 Fatskills.com

All trademarks, logos and brand names are the property of their respective owners. All company, product and service names used in this website are for identification purposes only. Use of these names, trademarks and brands does not imply endorsement.

About | Explore | User Guide | Topics | Subjects | Doubt Solver | Career Aptitude Test | Answers | Free Tools | What Should We Know?
Privacy | Terms |

Without work one finishes nothing. - Ralph Waldo Emerson
© 2026 Fatskills.com