fbpx
until LLM Bootcamp: In-Person (Seattle) and Online Learn more

Highly effective quiz: Machine learning techniques

August 16, 2022

Learn the difference between supervised ML, unsupervised ML, and reinforcement learning. Test your knowledge of machine learning techniques with an interactive infographic.

The quiz below was made to help you test your knowledge of supervised ML, unsupervised ML, and reinforcement learning while understanding which machine learning techniques fall under these categories. Try it or even embed it into your webpage!

Supervised machine learning techniques

In supervised machine learning models, we give the model a dataset with the answers (labels) to learn how to predict the label(s) for other examples where the labels are unknown.

Reinforcement learning

Reinforcement learning, on the other hand, is not trained with the answer. Instead, an agent is either penalized or rewarded for interacting with the environment. It learns from previous attempts and tries to maximize the reward with each attempt.

Unsupervised machine learning techniques

Unsupervised machine learning algorithms find hidden structures between the attributes (features) when the given dataset does not include labels. This is different from supervised learning; in that, we don’t tell the model what it needs to learn.

Quiz yourself!

Want to upgrade your machine learning knowledge? Check out Data Science Dojo’s Instructor-led Data Science Bootcamp.

Newsletters | Data Science Dojo
Up for a Weekly Dose of Data Science?

Subscribe to our weekly newsletter & stay up-to-date with current data science news, blogs, and resources.

Data Science Dojo | data science for everyone

Discover more from Data Science Dojo

Subscribe to get the latest updates on AI, Data Science, LLMs, and Machine Learning.