Stochastic Gradient Descent (SGD)

Concept and definition

Stochastic Gradient Descent (SGD)

What is Stochastic Gradient Descent (SGD)?

Stochastic Gradient Descent (SGD) is an optimisation algorithm used in training machine learning models.

The main idea behind stochastic gradient descent is to minimise a cost function by iteratively adjusting model parameters based on feedback from the training data set. Instead of updating the model parameters exhaustively with all the training data at each iteration (as in regular gradient descent), stochastic gradient descent uses small random samples of the training data (known as "minibatches" or "batches") at each iteration to update the model parameters.

Stochastic gradient descent is especially useful when the training data set is very large, as it allows the model to train more efficiently by processing small samples of the data at a time. In addition, stochastic gradient descent can help prevent the model from becoming trapped in local optima and converge more quickly to a global optimum.

Stochastic gradient descent is a widely used algorithm in the optimisation of deep learning models, and is essential for training large neural networks that require large training data sets.

« Back to glossary

Do you want to get in touch?

CDRs contain data that a telecommunications company collects about phone calls, such as time and length of call. This data can be used in analytical applications.
Fill the form
Share:
The best fraud detection software

Fraud detection software is an important tool for protecting companies and individuals from fraudulent activity and minimizing the risk of fraud.

Read More »
Where is Big Data applied?

We often wonder where Big Data is applied and we can assume a great relevance of Big Data for business. This explains the great in [....]

Read More »
Main branches of Artificial Intelligence

Artificial Intelligence (AI) derives from a series of models or branches that can be used in different areas of people's lives, as well as in different areas of [...]

Read More »
How AI models attract potential customers

The acquisition of new potential customers is one of the most important and difficult processes for a company. Traditionally, it has been necessary to [...]

Read More »
See more entries
© Gamco 2021, All Rights Reserved - Legal notice - Privacy - Cookies