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What do you do if your machine learning models need input from domain experts?
It's no coincidence that platforms like Amazon Mechanical Turk are a great success; increasingly in the world of AI, we see the need for Data Annotation. From models like ChatGPT to the simplest ones, they benefit from annotations by experts or trained individuals for that annotation.
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What do you do if your team doesn't understand the value of Machine Learning?
Four tips that can help: 1. Test first simple and more specific models. 2. Choose characteristics that are easy to predict. 3. Ensure that you have data that are easy to extract. 4. Start with a simple model and constantly evolve it.
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What are the most effective data compression methods for cleaning data?
A useful tip for feature selection is that any feature that would help a human identify the target selected will likely perform well when added to the model. So start talking to people who understand what you want to predict and identifying the criteria people use to estimate or classify what you want.
Experiencia y educación
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OLX Brasil
Mira la experiencia completa de Daniel
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2° colocado no Hackaton DTL da Microsoft com o grupo Ânima
Microsoft & Ânima
2° colocado no Hackaton DTL da Microsoft com o grupo Ânima
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First place in Hacking Rio on Mobile Transportation cluster
Hacking Rio
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HACKTUDO - Second place
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Second place in hackathon called HACKTUDO in Rio de Janeiro.
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Spanish
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