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What are Neural Networks in Machine Learning?
What are Neural Networks? At their core, neural networks (ANNs) are a class of algorithms designed to recognize patterns and learn from data. They consist of interconnected nodes,…
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Difference Between Epoch, Iteration, and Batch in Neural Networks
Neural networks, the cornerstone of modern artificial intelligence, have revolutionised various fields, from image recognition to natural language processing. However, delving into the intricacies of neural network training…
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What is Correlation in Statistics? Relationship Between Variables
Correlation serves as a fundamental concept that explains the relationship between two or more variables. Whether we’re analysing economic data, scientific experiments, or social trends, understanding correlation helps…
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Understanding What is Regularization in Machine Learning
In machine learning, the pursuit of models that generalise well to unseen (new) data is paramount. However, achieving this balance between complexity and generalisation can be challenging. Regularisation…
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Decoding the Language of Computers: A Dive into Binary Code
In the realm of computers and digital technology, binary code serves as the fundamental language that facilitates communication between machines. Composed of just two digits, 0 and 1,…
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What is a Foundation Model: Building Blocks of Artificial Intelligence
What is a Foundation Model? In the realm of artificial intelligence (AI), foundation models play a pivotal role in shaping the landscape of machine learning and natural language…