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.

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
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Simulation & Modeling Resources

Simulation and computer modeling tools allow engineers to model and evaluate real world events in a computer generated environment. Here are a few simulation tools and projects to get started:
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Systems Thinking Resources

Systems thinking is a discipline used to understand systems to provide a desired effect. It provides methods for "seeing wholes and a framework for seeing interrelationships rather than things, for seeing patterns of change rather than static snapshots." The intent is to increase understanding and determine the point of “highest leverage”, the places in the system where a small changes can make a big impact.