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An Intuitive Explanation of Transformer-Based Models

If you’re a data scientist working in the field of machine learning, you’ll no doubt be aware of all the natural language processing (NLP) BERT-like models that are taking the field by storm. With names like BERT, RoBERTa, ALBERT, DistilBERT … Read More

Difference in data roles infographic

The Responsibility of a Data Engineer

There are quite a few roles in the data science field: data engineers, data analysts, data scientists, machine learning engineers, data architects, BI developers, and so on… The list of roles is rather long. There are so many roles, in … Read More

Data Analytics: Data Insight Tools For User Autonomy

Data analytics is an ever-expanding practice that is becoming more important than ever. McKinsey Global Institute claims that data-centric organizations are 19 times more likely to be profitable, 23 times more likely to obtain new customers and 6 times as … Read More

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Machine Learning’s Evolution in the 20th Century

Machine learning’s widespread recognition and understanding is today making more headway than ever before, but we wanted to take a look back at what made machine learning what it is today.  So, why are we looking back on all of … Read More

Engineers Working in Office Together

Building Incredible Remote AI and Data Science Teams

In 2019, Stripe announced that their fifth engineering hub would be remote because they wanted to tap the 99.74% of talented engineers living outside the metro areas of San Francisco, Seattle, Dublin, and Singapore (their first four physical tech hubs). … Read More

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RecSys 2020 Challenge: Our Factored Team Success

  The RecSys Challenge, held annually, is a competition that seeks the best new ideas in the world of recommender systems applied to a specific context. The challenge is a key component of the ACM Conference on Recommender Systems series … Read More