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Deep Learning
Data Science at Microsoft
Lessons learned in the practice of data science at Microsoft.
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Deep Learning
Karthikeyan Dhanakotti
in
Data Science at Microsoft
Aug 19
Exploring quantization in Large Language Models (LLMs): Concepts and techniques
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3
Karol Zak
in
Data Science at Microsoft
Apr 22
Introduction to image inpainting with a practical example from the e-commerce industry
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200
4 responses
Andreas Stöffelbauer
in
Data Science at Microsoft
Oct 23, 2023
How Large Language Models work
From zero to ChatGPT
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2.5K
33 responses
Francesca Lazzeri
in
Data Science at Microsoft
May 29, 2023
Generative AI, OpenAI, and ChatGPT: What are they?
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135
2 responses
Moid Hassan
in
Data Science at Microsoft
Jun 20, 2022
Scalable time series forecasting
By
Moid Hassan
and
Sourav Khemka
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262
5 responses
Kosuke Fujimoto
in
Data Science at Microsoft
Mar 28, 2022
How to smoothly integrate MeanAveragePrecision into your training loop using TorchMetrics
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101
3 responses
Chris Hughes
in
Data Science at Microsoft
Jan 4, 2022
Comparing matrix factorization with transformers for MovieLens recommendations using PyTorch-accelerated
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87
1 response
Yasmin Bokobza
in
Data Science at Microsoft
Dec 7, 2021
Harnessing Deep Learning and low fidelity security insights to detect advanced persistent threats (Part 2 of 2)
…
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211
Yasmin Bokobza
in
Data Science at Microsoft
Nov 9, 2021
Harnessing Deep Learning and low fidelity security insights to detect advanced persistent threats (Part 1 of 2)
…
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216
Chris Hughes
in
Data Science at Microsoft
Jul 26, 2021
Training EfficientDet on custom data with PyTorch-Lightning (using an EfficientNetv2 backbone)
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337
1 response