And how to become one… — Introdution: Data Evangelist — what? So let’s get started with what Data Evangelist actually means. Data Evangelist is a person who talks about the importance of data and technology by providing technical content in a form of blogs, tutorials, talks, videos, etc. The goal of this is to spread the…

Where do I e-connect with other Data Scientists, ML practitioners, and other Data Lovers — Introduction It has been two years since the COVID pandemic hit the globe. Even though now two years later our lives seem to be returning to “normality” I think we all know that the world has changed. Also, the world of Data Scientists and ML practitioners has changed forever. We…

And what it means for machine learning practitioners… — Introduction If you follow the news in the machine learning community you certainly have heard about data-centric AI. The term has been growing in popularity in recent years, appearing at major ML conferences and being advocated by gurus of the data science community. Let’s take a look at what data-centric AI…

5 insider tips for crowdsourcing search relevance evaluations — Introduction One of the most essential e-commerce tasks today is search relevance evaluation. Your online marketplace relies on search algorithms to improve the customer experience but evaluating search data is challenging. In this article, you will learn some insider tips on how to obtain consistently accurate human-sourced labels for search…

And how to do it with crowdsourcing — Introduction If you have created a successful app or product, congratulations! Not many make it that far. Now it is time to support your customers. What are they saying about your product? Are they reporting any issues or bugs? Do you need to read every review to understand your customer’s…

Manage, store and label data for ML — Why data prep is hard Many data scientists and machine learning teams report that they spend about 80% of their time preparing, managing, or curating their datasets. There are three things that have enabled the ML revival over the last 5–10 years: breakthroughs in algorithms, fast and scalable hardware, and large curated datasets. …

And upcoming trends in data for 2022 — In case you missed it, the Neural Information Processing Systems (NeurIPS) conference was held virtually on December 6–14, 2021. This is one of the most influential conferences that gathers top ML engineers, data scientists, and AI researchers from around the globe. …