Complete Guide to Machine Learning Project Structuring for Managers

Structure your machine learning projects to create tangible results and increase the team’s efficiency

Marco Peixeiro
Towards Data Science

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Photo by Samuel Zeller on Unsplash

AI is now on everyone’s mind. Established companies are disrupting themselves and making a painfully slow shift towards becoming data-driven organizations, while startups need to implement clear and efficient data strategies to be relevant.

Although the necessity of having a data strategy is now widely accepted across small and large companies, a common challenge remains: how to structure and manage a machine learning project?

This article offers a framework to help you manage a machine learning project. Of course, you will have to adapt it to your company’s specific needs, but it will get you in the right direction.

For hands-on video tutorials on machine learning, deep learning, and artificial intelligence, checkout my YouTube channel.

Why do I need an AI strategy?

Of course, we need to start with why. Why is it important to develop an AI strategy within the company?

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