A new era of transfer learning in NLP

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“Do not forget what you have learned of our past, Rodimus. From its lessons the future is forged.”. Optimus Prime

This story started when in 2018 Google published a paper called BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding”, presenting a new way to solve several NLP problems with only one tool. BERT is a novel method to pre-train language representations that can be fine tuned to change the functionality performing small changes to the architecture. Hence the word Transformers has been used to name this types of ML entities.

At first, BERT was conceived mainly to solve “Question…


If you are looking for a map to discover new datasets you are in the right place.

“My philosophy is that worrying means you suffer twice.” Newt Scamander

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It is fun to imagine datasets as mythical creatures with their own personality and traits. Don’t let their surly appearance fool you. Datasets are gentle creatures willing to reveal their secrets when you spend enough time taming them.

If by chance you encounter a wild specimen, do not despair, you can plan ahead and you’ll subdue the beast. In your first encounter, analyze its appearance, presentation, size and if it lives in…


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I have been navigating through the Machine learning space for 8 years, sometimes it can be an overwhelming task, you need to read a lot of papers, learn programming languages and implement several strategies in a very short time. In this post I share some of my favorite resources that will make your journey more enjoyable.

From my personal experience I can say that I could not have made it so far without the collaboration of all my fellow travelers. Fortunately, the ML community have developed very useful guides to learn new techniques in less time. …

Erika Torres

Head of AI in MLReef. Machine Learning Engineer Activist since 2012

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