How to Develop Machine Learning Applications for Business

Today, most of the businesses rely on machine learning (ML) applications to understand revenue opportunities, identify market trends, predict customer behavior and pricing fluctuations as well as take the right business decisions. Developing these machine learning applications require following diligent planning and steps. Problem framing, data cleaning, feature engineering, model training, and improving model accuracy are a few of the steps that can be followed for developing machine learning applications.

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Anand Borad

Anand Borad works as senior marketing executive and takes care of digital and content marketing efforts for Medical devices, Connected Retail & Healthcare and New product development initiatives. He enjoys learning newer technologies and adopting it into everyday marketing practices.

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