Fuel selection for artificial intelligence is an important step.
If you are now busy creating your artificial intelligence, then you have wondered what to feed it with. Surely you know that a lot of data is in the public domain. And we will not make a secret out of it. We are also confident that you have your database requirements because not all databases are suitable for your system.
How to create a high quality datasets with FindDataLab
Describe your needs. Please specify what data you need to see in the final database, data format, data quality criteria, your deadline. Our data engineers will carefully examine your request.
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important steps in working with data foR ML
Data collection The quality and quantity of the data ultimately affect your model, and the accuracy of the result. It is important to remember that not always a lot of data is the key to success. Every project is unique. Good data quality helps you achieve accurate results.
Data preparation It may seem that data collection is sufficient, but it is the opposite. Training dataset and test dataset are two interrelated entities. But each of them has its characteristics in the structure.