Writing about Machine Learning!

Early stopping is one of the effective and simplest regularization techniques used in training neural networks.

The Idea Behind Early Stopping and Why you Should Always Use It

Usually, during training, the training loss will decrease gradually, and if everything goes well on the validation side, validation loss will decrease too.

When the validation loss hits the local minimum point, it will…

Image: A child learning a bike under dad’s supervision. Thanks to Vm/Canva for making the image freely available.

Machine learning, a science of teaching computers to perform tasks without programming them explicitly is classified into five main types that are:

  • Supervised learning
  • Unsupervised learning
  • Semi-supervised learning
  • Self-supervised learning
  • Reinforcement learning

Let’s talk about them.

1. Supervised Learning

Supervised learning is the common most type of machine learning. …

Decision trees are one of the powerful machine learning algorithms that can be used to model complex datasets. They can be used in both regression and classification problems.

In this article, I want to highlight 7 interesting facts that this kind of learning algorithm is very particular about.

Fact #1

Other than…

Jean de Dieu Nyandwi

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