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Listen this audio file to know how much training data is required for machine learning algorithms with expert guidance to know how to calculate or find how much training data is enough to use in machine learning algorithms. The audio file is explaining in the voice of expert what kind of training data actually require and how much is enough to start the machine learning the AI model and that can work with best accuracy.
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Listen this audio file that explains, truth about the myths on outsource data annotation services to third party. The top four myths like data safety, in-house annotation is better or cost-effective, different use-cases, third-party is expensive etc. are cleared here with few examples. Listening this audio files will helps AI and ML companies to outsource their data annotation needs to other professionals companies and get a high-quality datasets at lees expensive cost. 
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10+ Years Experience in machine learning and AI for collecting and providing the training data sets required for ML and AI development with quality testing and accuracy. Equipped with additional qualification in machine learning and artificial intelligence research and development for business model and system applications for different industries.

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