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Supervised Learning

  • Course level: Beginner

Description

Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence.

It is defined by its use of labeled datasets to train algorithms to classify data or predict outcomes accurately. As input data is fed into the model, it adjusts its weights until the model has been fitted appropriately, which occurs as part of the cross-validation process. Supervised learning helps organizations solve a variety of real-world problems at scale, such as classifying spam in a separate folder from your inbox.

 

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What Will I Learn?

  • Learn Supervised Learning

Topics for this course

9 Lessons

Supervised Learning

Supervised Learning: Linear Regression – Part 100:00:00
Supervised Learning: Linear Regression – Part 200:00:00
Supervised Learning: Linear Regression – Part 300:00:00
Supervised Learning: Linear Regression – Part 400:00:00
Supervised Learning: Example using Python – Part 500:00:00
Supervised Learning: Example using Python – Part 600:00:00
Logistic Regression: Part 100:00:00
Logistic Regression: Part 200:00:00
Back Propagation00:00:00
Supervised Learning
Free

Enrolment validity: Lifetime