Today, artificial intelligence-powered machine learning (ML) and data analytics solutions are high in demand by companies in almost every area, whether it’s the financial sector, power industry, retail, healthcare, technology, or telecommunications. ML allows companies to work through a massive amount of raw data to extract actionable information. It equips businesses to understand their targeted audience better, automate their operations and production, align customer demand, and predict future business development with reliable results to make conversant decisions.

However, implementing ML technologies and algorithms like decision trees, logistic/linear regression, KNN, etc., remained a big challenge for businesses. Given that it is a costly affair with elaborate infrastructures, subject matter experts, high computing and processing power systems, etc., to leverage ML technologies and solutions in the business infrastructure. 

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