Data Science The Use of Machine Learning in Predicting Sports Match Outcomes

Out of all spheres of technological advancement, artificial intelligence has always attracted the most attention from the general public.

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Deep Learning Natural Language Processing Awesome Guides Understanding Transformers, the Programming Way

Transformers have become the defacto standard for NLP tasks nowadays. They started being used in NLP but they are now being used in Computer Vision and sometimes to generate music as well.

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Deep Learning Computer Vision How I Created a Dataset for Instance Segmentation from Scratch?

Recently, I was looking for a toy dataset for my new book’s chapter (you can subscribe to the updates here ) on instance segmentation.

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Deep Learning Natural Language Processing Awesome Guides Understanding Transformers, the Data Science Way

Transformers have become the defacto standard for NLP tasks nowadays.

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Deep Learning Natural Language Processing Computer Vision Awesome Guides The Most Complete Guide to PyTorch for Data Scientists

PyTorch has sort of became one of the de facto standards for creating Neural Networks now, and I love its interface.

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Data Science Awesome Guides Create an Awesome Development Setup for Data Science using Atom

Before I even begin this article, let me just say that I love iPython Notebooks, and Atom is not an alternative to Jupyter in any way.

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Deep Learning Computer Vision Awesome Guides A Layman’s Introduction to GANs for Data Scientists using PyTorch

Most of us in data science has seen a lot of AI-generated people in recent times, whether it be in papers, blogs, or videos.

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Data Science Learning Resources Become an ML Engineer with these courses from Amazon and Google

With ML Engineer job roles in all the vogue and a lot of people preparing for them, I get asked a lot of times by my readers to recommend courses for the ML engineer roles particularly and not for the Data Science roles.

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Data Science How to use SQL with Pandas?

Pandas is one of the best data manipulation libraries in recent times.

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Data Science 5 Essential Business-Oriented Critical Thinking Skills For Data Scientists

As Alexander Pope said, to err is human. By that metric, who is more human than us data scientists?

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