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Magdalena Konkiewicz
Magdalena Konkiewicz

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Published in Geek Culture

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Become a successful Data Science writer

Start with these 6 simple tips — Introduction So you are Data Scientist and you have consumed hundreds of tutorials, read tons of Data Science books, and never contributed a single sentence to help others? That was me about two years ago! I have been using all possible internet resources to further my knowledge of Data Science…

Data Science

7 min read

Become a successful Data Science writer
Become a successful Data Science writer

Published in Towards Data Science

·Jun 1

What is a Data Evangelist?

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…

Data Science

5 min read

What is a Data Evangelist?
What is a Data Evangelist?

Published in Towards Data Science

·May 5

3 Great Slack Data Science Communities to join this year

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…

Data Science

4 min read

3 Great Slack Data Science Communities to join this year
3 Great Slack Data Science Communities to join this year

Published in Towards Data Science

·Apr 14

Data-centric AI

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…

Machine Learning

4 min read

Data-centric AI
Data-centric AI

Published in Towards Data Science

·Mar 29

Evaluating search relevance on-demand with crowdsourcing

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…

Data Science

6 min read

Evaluating search relevance on-demand with crowdsourcing
Evaluating search relevance on-demand with crowdsourcing

Published in Towards Data Science

·Mar 11

Categorizing Customer Support Requests

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…

Data Science

5 min read

Categorizing Customer Support Requests
Categorizing Customer Support Requests

Published in Towards Data Science

·Mar 3

Resilient Human-in-the-Loop Pipelines with Pachyderm and Toloka

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. …

Machine Learning

8 min read

Resilient Human-in-the-Loop Pipelines with Pachyderm and Toloka
Resilient Human-in-the-Loop Pipelines with Pachyderm and Toloka

Published in Towards Data Science

·Jan 26

NeurIPS 2021 highlights

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. …

Data Science

4 min read

NeurIPS 2021 highlights
NeurIPS 2021 highlights

Published in Towards Data Science

·Jan 20

AI-Assisted Annotation with Multimodal Neural Networks

A real-life example of data validation for an antispoofing face detection project — Introduction There has been a lot of work on face recognition systems in recent years. As a result, state-of-the-art algorithms in this area have achieved decent accuracy. Decent enough to have the solution implemented across different industries. Face recognition systems are now a part of our everyday life and help…

Machine Learning

4 min read

AI-Assisted Annotation with Multimodal Neural Networks
AI-Assisted Annotation with Multimodal Neural Networks

Published in Towards Data Science

·Dec 16, 2021

Human in the loop in Machine Translation systems

Evaluating machine translation quality using crowdsourcing — Introduction In recent years Machine Translation has made a big comeback due to advancements in deep learning and artificial neural networks. In 2015, machine translation systems started switching from statistical-based models to neural networks, which significantly improved the quality of translation for most language pairs. …

Machine Learning

5 min read

Human in the loop in Machine Translation systems
Human in the loop in Machine Translation systems
Magdalena Konkiewicz

Magdalena Konkiewicz

Data Scientist, NLP, ML practitioner, and educator. Blogging from Medium and aboutdatablog.com. Support my writing: https://medium.com/@konkiewicz.m/membership

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