What is training set?
A collection of data used to teach a machine learning model
training set explained in plain English
A training set is a group of examples that a machine learning model learns from to make predictions or take actions. It contains input data and the corresponding correct outputs, which the model uses to adjust its parameters and improve its performance.
Analogy
A training set is like a textbook for a student. Just as a student learns from a textbook to prepare for a test, a machine learning model learns from a training set to make accurate predictions.
Example
For example, a company developing a self-driving car might use a training set of images of roads, pedestrians, and other vehicles to teach the car's computer to recognize and respond to different situations.
How is training set used?
Training sets are used to train machine learning models, which are then used in a variety of applications such as image recognition, natural language processing, and predictive analytics.
Common misconceptions about training set
History
The concept of a training set has been around since the early days of machine learning, but the term gained popularity with the rise of big data and deep learning in the 2010s.
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