What are different types of algorthim methods in machine learning?

Question

Accepted Answer

There are various algorithm methods in machine learning, such as supervised learning, unsupervised learning, and reinforcement learning.

Supervised learning: Algorithms learn from labeled data to make predictions or classifications.
Unsupervised learning: Algorithms learn from unlabeled data to discover patterns or relationships.
Reinforcement learning: Algorithms learn through trial and error to maximize rewards.
Other methods include semi-supervised learning, transfer learning, and deep learning.
Examples: Decision trees, support vector machines, k-means clustering, neural networks.

Accepted Answer

There are four types of machine learning algorithms supervisor semi supervised on supervised and reinforcement

Accepted Answer

Supervised, unsupervised, semi supervised, reinforcement.

Accepted Answer

Supervised, semi supervised, unsupervised and reinforcement.

Accepted Answer

They are.                                        1. Supervised learning.                       2. Unsupervised learning.                 3. Semi-supervised learning.           4. Transduction.                                    5. Reinforcement.

What are different types of algorthim methods in machine learning?

Top Cognizant GenC interview questions & answers

Top HR questions asked in Cognizant GenC