An MBA in finance imparts and improves management aptitude, inventive ability, critical thinking ability, and so forth. It offers a real-time experience that fabricates a staunch career foundation for students and working professionals. It helps them to thoroughly understand the financial sector.
Supervised learning is a fundamental concept in machine learning. Let me break it down for you:
Definition:
Supervised learning is a type of machine learning where the model learns from labeled data.
In this paradigm, each training example consists of aninput (also known as features or predictor variables) and a corresponding output (the desired target value).
The goal is to build a function that maps new input data to expected output values.
Process:
The training data contains pairs of input-output examples.
The algorithm learns from these labeled examples to create a mapping between inputs and outputs.
Once trained, the model can predict outputs for new, unseen data.
Examples:
Classification: Predicting discrete labels (e.g., spam or not spam, image recognition).
Regression: Predicting continuous values (e.g., house prices, stock prices).
Object detection: Identifying objects within an image.
Analogy:
Imagine you’re identifying fruits in a basket:
You train the model with labeled examples (e.g., apple, banana, orange).
When faced with a new fruit, the model predicts its type based on features like shape, color, and texture.
In summary, supervised learning leverages labeled data to make accurate predictions or classifications. It’s widely used across various domains.
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Bhavesh Badani
13-May-2024Supervised learning is a fundamental concept in machine learning. Let me break it down for you:
Definition:
Process:
Examples:
Analogy:
In summary, supervised learning leverages labeled data to make accurate predictions or classifications. It’s widely used across various domains.