What are activation functions in neural networks ?
In the world of neural networks, activation functions act like gatekeepers, controlling the flow of information and influencing a neuron’s output. They’re essential for introducing … Read more
Machine Learning QandA
Linearity vs non-linearity in Machine Learning ?
In machine learning, the concepts of linearity and non-linearity refer to the relationship between the input features of a dataset and the target variable you’re … Read more
How are convolutional neural networks related to supervised learning ?
Convolutional Neural Networks (CNNs) are a specific type of neural network architecture that excels at working with data with a grid-like structure, most commonly images. … Read more
What is neural networks in Machine Learning ?
Neural networks are a specific type of machine learning model that falls under the category of deep learning. Here’s a breakdown of the relationship: Key … Read more
What is labelled and unlabelled data set in Machine Learning ?
In machine learning, labeled and unlabeled data are the two main categories used to train different types of machine learning models. They differ based on … Read more
What is biased data ?
Biased data refers to information that’s skewed or incomplete in a way that misrepresents the reality it’s supposed to depict. Here’s how biased data can … Read more
What are the scope and limitations in machine learning ?
Scope of Machine Learning: Limitations of Machine Learning:
Like machine learning, what are other approaches in AI ?
Machine learning is a powerful approach in AI, but it’s not the only one. Here are some other important approaches: 1. Symbolic AI: This approach … Read more
Introduction to Machine Learning
What is Machine Learning? Definition: Machine learning (ML) is a subfield of artificial intelligence where computer systems learn to identify patterns in data and make … Read more
Name some popular machine learning libraries.
Several libraries in Python are commonly used for machine learning tasks. A combination of these libraries can cover a wide range of machine learning tasks. … Read more