Complete Algorithm Analysis and Design in Short
1. Algorithms: 2. Designing Algorithms: 3. Analyzing Algorithms: 4. Asymptotic Notations: 5. Heaps and Heap Sort: 6. Divide and Conquer Technique: 7. Design and Comparison … Read more
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Complete Object Oriented Programming in Short
1. Object Oriented Thinking vs Procedural Programming 2. Features of Object Oriented Paradigm 3. Merits and Demerits of OO Methodology Merits: Demerits: 4. Object Model … Read more
Complete Data Structure in short
Introduction to Data Structures Data structures are fundamental building blocks in computer science that organize data in a specific way to facilitate efficient access, manipulation, … Read more
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
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
Fundamentals of Neural Networks
Inspiration from the Brain: Building Blocks: Learning Process: Types of Neural Networks: Applications of Neural Networks: Neural networks are used in a wide range of … 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
RGPV Notes | Machine Learning
Unit I: Introduction to Machine Learning Unit II: Fundamentals of Neural Networks Unit III: Convolutional Neural Networks (CNNs) Unit IV: Recurrent Neural Networks (RNNs) and … Read more