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Tools

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Here’s our list of worksheets, presentations, exercises, diagrams, audio materials and other “bigThinking” resources that can be downloaded for free.

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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.
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Data Iceberg Model for Machine Learning

One of the pitfalls to developing production-ready machine learning solutions is the failure to identify the appropriate data assets. In evaluating the data assets to be used for your project, use the Data Iceberg Model approach to determine the underlying (i.e. not visible) structures that triggered the creation of the dataset. The following Data Iceberg Model can be used to evaluate the quality & limitations of the data used to train your machine learning models.
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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.
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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: