Q1. Which algorithm is mostly used in machine learning?

A. While the suitable algorithm depends on the problem you are trying to solve.

Q2. What is the difference between supervised and unsupervised ML?

A. In the supervised learning model, the labels associated with the features are given. In unsupervised learning, no labels are provided for the model.

Q3. What are the main 3 types of ML models?

A. The 3 main types of ML models are based on Supervised Learning, Unsupervised Learning, and Reinforcement Learning.

Q4. What is an algorithm in machine learning?

A. An algorithm in machine learning is a set of rules or procedures that a model follows to learn from data. It processes input data, identifies patterns, and makes predictions or decisions based on that data, enabling computers to improve over time without explicit programming.

Q5. How to apply ML algorithms?

A. To apply machine learning algorithms, first, define the problem and collect relevant data. Preprocess the data (cleaning, normalization), choose an appropriate algorithm based on the task (classification, regression, etc.), train the model on the dataset, and finally evaluate its performance using metrics like accuracy or F1-score.

Q6. Is CNN a machine learning algorithm?

A. Yes, a Convolutional Neural Network (CNN) is a deep learning algorithm designed for image and video recognition, using convolutional layers to automatically extract features and enhance visual data processing.