✨ 6 Articles Data Scientists Should Read

Hi there. You know data science is one of the hottest fields recently. Learning data science is a challenge. You should definitely read these articles to become a modern data scientist.


 1️⃣ Transformers

📌 Transformers enable the processing of sequences in a parallel method.
🔗 https://arxiv.org/pdf/1706.03762.pdf

2️⃣  BERT

📌 BERT is an NLP model based on transformers.
🔗 https://arxiv.org/pdf/1810.04805.pdf

3️⃣ StyleGAN

📌 StyleGAN is a generative adversarial network (GAN) introduced by Nvidia researchers in December 2018, and made source available in February 2019.
🔗 https://arxiv.org/pdf/1812.04948.pdf

4️⃣ CLIP

📌 CLIP is a neural network trained on a variety of (image, text) pairs.
🔗 https://arxiv.org/pdf/2103.00020.pdf

5️⃣ The game of Go with deep neural networks

📌 This paper revealed AlphaGo which defeated the European Go champion by 5 games to 0.
🔗 https://storage.googleapis.com/deepmind-media/alphago/AlphaGoNaturePaper.pdf

6️⃣ DNN for YouTube Recommendations

📌 This paper mentions the architecture of Deep Learning models used for recommendations on YouTube.
🔗 https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/45530.pdf

 ✨ Thanks for reading
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📌 For more information about these papers 👇
https://towardsdatascience.com/6-papers-every-modern-data-scientist-must-read-1d0e708becd