How to Prepare Data for Machine Learning and A.I.

In this video, Alina discusses how to Prepare data for Machine Learning and AI. Artificial Intelligence is only powerful as the quality of the data collection, so it's important to prepare data for Machine learning correctly to ensure no data bias in the prediction models. We received a lot of questions about how much data someone needs to run a prediction model for a business, and how to avoid common mistakes in data collection for AI. The answer is you don't need big-data to run AI models and Machine learning models, it can be done with ‘medium-data’!

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StratoDem Analytics

StratoDem is a Boston-based data science company using economics and demographics to inform strategy. With an unprecedented amount and quality of local data sets, we've created a next-generation analytics firm with the most predictive work of any local economic data provider in the market. We help clients understand whether target markets are likely to outperform or underperform or be more or less cyclical than comparable markets, turning data into higher return on invested capital.

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