Types Of Machine Learning Algorithms | Explained On Real World Examples | ML For Beginners

🔥 Traditional types of Machine Learning include: Supervised Learning, Unsupervised learning and Reinforcement learning. There are also Semi-supervised algorithms which are out of the scope of this video. We aim to provide a fundamental understanding of all the categories by explaining their use cases and characteristics. After watching the video, you should be able to identify ML tasks into their corresponding types.

To sum up the whole idea:

Supervised Learning - When you have "label" you want to "predict" with your model in the dataset.

Unsupervised Learning - When you don't have the "label" and want to group or cluster (there are also other types like dimensionality reduction, which is a more complex topic) the dataset, without knowing what should be the exact output of the model.

Reinforcement learning - Includes learning through trial and error in the environment by maximizing the reward function.

🔍 Key points covered:

0:00 - The main types of ML algorithms.
0:15 - Supervised learning.
0:47 - Unsupervised learning.
1:26 - Reinforcement learning.
2:05 - Subscribe to us!

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