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Characteristics of Machine Learning solutions

It is estimated that 87% of data science projects never reach production. One of the pitfalls to developing a production-ready machine learning solution is the ability to define if it’s an appropriate tool for solving the problem. Not every problem should be solved with machine learning.

It is estimated that 87% of data science projects never reach production. One of the pitfalls to developing a production-ready machine learning solution is the ability to define if it’s an appropriate tool for solving the problem. Not every problem should be solved with machine learning.

Here’s a guide for reviewing your project to determine if machine learning is a tool that would be useful.

Characteristics of Machine Learning Applications

Kishau Rogers

Kishau Rogers is the editor and founder of the bigThinking project. bigThinking is a resource and collaborative innovation center which promotes the principles of systems thinking. Our mission is to empower the next generation of innovators to think bigger, to think better, and to create solutions that make a significant impact in the areas that matter. Kishau Rogers is an award-winning entrepreneur with a deep background in Computer Science, over twenty-five years of experience in the technology industry, and more than 15 years of entrepreneurial leadership. She currently serves as the Founder & CEO of Time Study, Inc., a high-growth startup offering solutions for using machine learning, advanced natural language processing, and data science to automatically tell a story of how enterprise employees spend their time.

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