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Question 1 - DSA-C02 discussion

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Which type of Machine learning Data Scientist generally used for solving classification and regression problems?

A.
Supervised
Answers
A.
Supervised
B.
Unsupervised
Answers
B.
Unsupervised
C.
Reinforcement Learning
Answers
C.
Reinforcement Learning
D.
Instructor Learning
Answers
D.
Instructor Learning
E.
Regression Learning
Answers
E.
Regression Learning
Suggested answer: A

Explanation:

Supervised Learning

Overview:

Supervised learning is a type of machine learning that uses labeled data to train machine learning models. In labeled data, the output is already known. The model just needs to map the inputs to the respective outputs.

Algorithms:

Some of the most popularly used supervised learning algorithms are:

* Linear Regression

* Logistic Regression

* Support Vector Machine

* K Nearest Neighbor

* Decision Tree

* Random Forest

* Naive Bayes

Working:

Supervised learning algorithms take labelled inputs and map them to the known outputs, which means you already know the target variable.

Supervised Learning methods need external supervision to train machine learning models. Hence, the name supervised. They need guidance and additional information to return the desired result.

Applications:

Supervised learning algorithms are generally used for solving classification and regression problems.

Few of the top supervised learning applications are weather prediction, sales forecasting, stock price analysis.

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asked 23/09/2024
Musaddiq Shorunke
44 questions
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