Machine learning enables systems to learn from data and improve their performance without being explicitly programmed. There are four major types of machine learning: 1. Supervised Learning Subtypes: a) Classification:…
Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on enabling computers to learn automatically from data without being explicitly programmed. Machine Learning (ML) is an interdisciplinary field that combines…
Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on enabling computers to learn automatically from data without being explicitly programmed. As defined by Arthur Samuel:“Machine learning…
Modern business organizations generate and store large volumes of data as part of their daily operations. However, this data was underutilized earlier due to two key reasons: To solve these…
Module 1 1] Explain the need for Machine Learning in modern organizations. What factors have contributed to its growing popularity? 2] What is Machine Learning? Explain how it differs from…
8.b] Define Activation Function. Explain different types of activation functions. Answer: Activation Function: Activation functions are mathematical functions used in neural networks that determine whether a neuron should be activated…
Artificial Neural Networks (ANNs) are computing systems inspired by biological neural networks. They consist of three main layers: The types of ANNs are based on: 1. Feed Forward Neural Network…
7.a) Define Prior Probability. Explain Bayes Theorem, hML and hMAP with an example. Answer: Prior Probability: It is the general probability of an uncertain event before an observation is seen…
When a cache miss occurs, the cache controller must select a victim cache line to evict and make space for new data from main memory. This process is known as…
