- Data Labeling for Machine Learning: Market Overview, Approaches, and Tools - Dec 13, 2021.
So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever. Here, we highlight many of the top players in this industry and the techniques they use to help you consider which might make a good partner for your needs.
Big Data, Crowdsourcing, Data Classification, Data Labeling, Data Mining, Data Platform
- Clustering in Crowdsourcing: Methodology and Applications - Nov 30, 2021.
As a result of the efforts outlined in this article, we confirmed that clustering through crowdsourcing is indeed possible and works impressively well.
Clustering, Crowdsourcing, Data Science, Toloka
- Data Careers in Demand: Crowd Solutions Architect Explained - Jun 23, 2021.
How can crowdsourcing support the applications of data teams at an organization? With an ever-increasing demand for more and higher quality data, a new role of the Crowd Solutions Architect (CSA) can leverage the potential of the masses to bring an advantage to a business's capability to deliver effective AI-driven solutions.
Careers, Crowdsourcing, Data Architect, Explained, Toloka
- How to Organize Data Labeling for Machine Learning: Approaches and Tools - May 16, 2018.
The main challenge for a data science team is to decide who will be responsible for labeling, estimate how much time it will take, and what tools are better to use.
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Altexsoft, Crowdsourcing, Data Labeling, Data Preparation, Image Recognition, Machine Learning, Training Data
- 7 Ways to Get High-Quality Labeled Training Data at Low Cost - Jun 13, 2017.
Having labeled training data is needed for machine learning, but getting such data is not simple or cheap. We review 7 approaches including repurposing, harvesting free sources, retrain models on progressively higher quality data, and more.
Crowdsourcing, Data Preparation, Gamification, Machine Learning, Training Data
- 10 Data Acquisition Strategies for Startups - Jun 14, 2016.
An interesting discussion of the myriad methods in which startups may choose to acquire data, often the most overlooked and important aspect of a startup's success (or failure).
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Acquisitions, Crowdsourcing, Datasets, Startups
- DrivenData: Data Science Competitions for Social Good - Nov 4, 2014.
DrivenData plans to bring cutting-edge practices in data science and crowdsourcing to some of the world's biggest social challenges and the organizations taking them on.
Competition, Crowdsourcing, Data Science, DrivenData, Nonprofit, Social Good
