What is distributed computing systems
Distributed computing systems are networks of connected computers that work together to solve complex tasks or process large amounts of data. In these systems, individual … Read more
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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
Difference between Supervised vs Unsupervised vs Reinforcement learning
Learning Type Supervised Learning Unsupervised Learning Reinforcement Learning Training Data Labeled data (input & output pairs) Unlabeled data (only input) Feedback from environment Learning Objective … Read more
Machine learning algorithms for Big data
When working with “Big Data,” many different machine learning algorithms can be used to analyse the data and get useful information from it. Here are … Read more
Difference between Supervised vs Unsupervised vs Reinforcement learning
Aspect Supervised Learning Unsupervised Learning Reinforcement Learning Learning Paradigm Labeled data with input-output pairs Unlabeled data with no explicit target labels Feedback-based learning through interactions … Read more
Labeled data in Machine learning
Labeled data, in the context of machine learning, refers to a dataset where each example (data point) is associated with a corresponding target label or … Read more
What is cognitive abilities ?
Cognitive abilities refer to the mental processes and skills that allow individuals to acquire, process, store, retrieve, and apply information. These abilities are essential for … Read more