Highlights from Machine Translation and Multilinguality in October 2022

Here are my monthly highlights from paper machine translation and multilinguality that appeared on arXiv, many of them preprints from the upcoming EMNLP conference. Folks from Amazon published a pre-print that introduces a simple method of how to make pre-trained multilingual representation more robust towards noisy inputs. It is a very straightforward approach: they sample typos based on Wikipedia logs and use those during model training. In addition, they add a contrastive loss that forces the noisy versions of sentences […]

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Linear Regression From Scratch, and Avoiding Built-ins

Over the past few months, I had done quite a number of courses in Machine Learning (the popular ones) — Machine Learning by Andrew Ng, and the first three courses of the Deep Learning Specialisation. Just as I was thinking whether to move on to Convolutional Neural Networks or not, I thought it would be best to give myself a chance to implement what I’ve learnt so far. It would help me to strengthen my fundamentals, and that would definitely […]

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Python News: What’s New From September 2022

In September 2022, the Python 3.11.0rc2 release candidate version became available for you to test and stay on top of Python’s latest features. This release is the last preview version before the final release of Python 3.11.0, which is scheduled for October 24, 2022. Python’s latest bugfix versions, including 3.10.7, have introduced breaking changes to cope with a security vulnerability that affects the str to int conversion and can leave you open to DDoS attacks. As usual, the Python ecosystem […]

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Python — Basic to Advanced-Day1

Congratulations!!! For starting your journey towards Python/Data Science or AI/ML. So obviously for any Data Science or AI/ML project… Python is the ultimate thing one should learn. Let’s make this journey more beautiful along with me in learning, practicing and much more. Wish you very all the best. Let’s Begin!!!

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