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Choose the Right Laptop for Data Science and Machine Learning

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If you’re learning Data Science and Machine Learning, you definitely need a laptop. This is because you need to write and run your own code to get hands-on experience. When you also consider portability, the laptop is the best option instead of a desktop.

A traditional laptop may not be…

Let’s start with image basics

Image by Willfried Wende from Pixabay

Today, you’re going to learn some of the most important and fundamental topics in machine learning and deep learning. I guarantee that today’s content will deliver the foundational concepts that are key to start learning deep learning — a subset of machine learning.

The MNIST digits dataset, constructed by the…

Visualize CPU, GPU and RAM stats while the CatBoost model is running

Image by Clker-Free-Vector-Images from Pixabay

I’ve already published an independent review by comparing CatBoost CPU vs GPU training time with a 10M rows dataset. Read it here. When training a CatBoost model with such a large data set, computer hardware like CPU, GPU and RAM work at their peak performance.

It’s worth collecting and visualizing…

Unlock the power of data parallelism with high-performance GPUs

Image by Nana Dua from Pixabay

Some machine learning and deep learning models require a lot of computational power to execute. This is because they have a vast amount of data and thousands of parameters. A CPU cannot handle these types of resource-intensive tasks efficiently.

As data and model parameters increase, more computational power is required…

Go simple to complex, gain more powerful and accurate results

Image by jwvein from Pixabay

An ensemble technique or ensemble learning refers to a collection of multiple decision trees that are technically called base learners. The trees in the ensemble are combined via bagging or boosting.

In terms of performance, ensemble models are much better than individual decision trees. Ensemble techniques can be applied to…

Rukshan Pramoditha

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