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P-Hacking a Statistical Pitfall of Machine Learning

P-Hacking a Statistical Pitfall of Machine Learning

Digital transformation has revolutionized the way businesses operate, enabling organizations to leverage data and technology to gain insights and make better decisions. Machine learning, a subset of artificial intelligence, has emerged as a powerful tool for analyzing data and making predictions. However, as with any statistical technique, machine learning is subject to pitfalls, one of…

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The Problems with Imbalanced Dataset and How to Solve Them

In one of our latest posts my colleague David shared some valuable insights regarding predicting customer churn with deep learning for one of Wovenware’s healthcare clients. He mentioned that a key part of the business problem was working with an imbalanced dataset. This blog post is the second in a three-part series where I will share…

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Predicting Member Churn for Healthcare Insurance

Predicting Member Churn for Healthcare Insurance

Digital transformation is sweeping across all industries, including healthcare and insurance. One area where digital transformation can have a significant impact is in predicting member churn. Member churn, also known as member attrition, is a problem for healthcare insurance companies because it can lead to revenue loss, reduced customer satisfaction, and increased marketing expenses. In…

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Ethical Chatbot

It’s Time to Ensure that all Chatbots are Ethical

It often seems like chatbots are everywhere – wanting to strike up conversations with you when you’re on a website or calling into customer service. But those are just the chatbot conversations you know about. Chances are you’re communicating with chatbots in other instances and you’re not even aware of it. One of the pressing issues…

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Artificial Intelligence Archives | Page 11 of 19 | Wovenware

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