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Отзывы учащихся о курсе Practical Crowdsourcing for Efficient Machine Learning от партнера Яндекс

О курсе

This course will teach you efficient and scalable data labeling for ML and various business processes. The key here is the crowdsourcing approach, based on splitting complex challenges into small tasks and distributing them among a vast cloud of performers. You will get acquainted with crowdsourcing as a methodology, mastering certain steps and techniques that ensure quality and stable performance. All these techniques will be implemented in practice straight away: throughout the course, you’ll design your own crowdsourcing project....
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1–4 из 4 отзывов о курсе Practical Crowdsourcing for Efficient Machine Learning

автор: Смирнова П С

24 июня 2021 г.

Excellent course to understand and practice crowdsourcing. Will be very helpful for ML specialists and also for managers to find out how to integrate crowdsourcing in their business pipeline. Highly recommend it!

автор: Федорова Н

27 апр. 2021 г.

Great! I liked this course)

автор: Hadi S

17 июня 2021 г.

It is only upsetting that instructions aren't clear enough to be able to complete this course successfully. I have paid to earn a certificate on this course and worked diligently to study and complete it on time. I was expecting to finish it in 5 weeks, which are now turning to 10 weeks and still cannot pass the final assignment.

Instructions/ assignment guidelines are not clear enough and unfortunately no one is there to support and resolve issues quickly. Extremely frustrated. *Update*

The admins finally managed to respond and resolve the issues I was experiencing when I was nearly losing hope. As a final review I would recommend this course, it is interesting and challenging with lots of hands on tasks.

автор: Naiqing G

17 нояб. 2021 г.

G​ood course on practicing crowdsourcing. Would be better if participants can see the ground-truth of final project after passing it for learning purposes.