Differences Between Machine Learning and Artificial Intelligence
AI is a broader field that encompasses any system that can reason, learn, and act autonomously. ML is a subset of AI that focuses on … Read more
Machine Learning
Define machine learning and explain its importance in real-world applications.
Machine Learning is a subset of artificial intelligence that focuses on the development of algorithms and models that allow computers to learn and make predictions … Read more
Top Interview Questions and Answers for Supervised Learning
1. What is Supervised Learning? Ans. Supervised learning is a type of machine learning where the algorithm learns from labeled data, making predictions or decisions … Read more
Supervised Learning
Definition: Supervised machine learning is a type of machine learning where the model is trained on a labeled dataset. The labeled dataset consists of examples … Read more
Scalars in Loss Functions | Machine Learning
Single numbers that indicate the deviation between the expected and actual values for a single data point are called “scalars” when discussing loss functions. Predictions … Read more
Scalar in Machine Learning
A scalar is a single numerical value in machine learning, as opposed to a vector or a matrix, which are collections of integers. In many … Read more
What is Ordinary Least Squares (OLS) estimation
Ordinary Least Squares (OLS) estimation is a statistical method used to estimate the coefficients of a linear regression model. In linear regression, we aim to … Read more
What is Linear Regression in Machine Learning
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It helps us understand … Read more
What is training data in Machine learning
In machine learning, training data is a series of examples used to educate a machine learning model how to do a given job. It is … Read more