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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…

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  • Do Hard Things : Creating a new path of least resistance

    Learn how to do hard things well requires building your muscle for making difficult choices, understanding the structures that contribute to your advancement and eliminating competing goals. Structural tension can help you discover how to create advancing patterns and to sustain advancement. This concept is applicable whether you're building a business or building a life.

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  • LIVE Courses: Getting Started With Machine Learning

    Getting Started with Machine Learning Using system thinking principles to guide your machine learning experiments allows you to maintain a deeper understanding of the elements that influence intelligent systems and will aid in avoiding the common pitfalls of machine learning projects. Join me on O’Reilly’s Online Learning platform, Safari, for a hands-on introduction to machine learning. You’ll explore scalable project…

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  • Drifting Goals & What To Do When You’re Not Where You Want To Be

    Recently, I was watching the viral video that Will Smith posted regarding failure, and I began thinking about goals; specifically, drifting goals. In a culture that places a high value on achievement, there is a noticeable tension between setting big-hairy goals and setting goals that you can reasonably attain, given your current situation. On the one hand, goals are supposed…

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  • The Dramatic Pause : Sometimes, You Gotta Let It Simmer

    Effort is overrated. Have you ever noticed someone putting forth tremendous effort to improve a situation yet still failing to advance? It’s easy to believe that failure is a result of not enough effort, however, sometimes failure is a result of too much effort or a lack of understanding regarding how things “work.”

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  • Global Awareness : Finding Common Ground with Unplugged Innovation

    Unplugged activities are performed without a computer. They are particularly useful in global training programs held in locations where technology resources may not always be available or updated. Here we demonstrate how teaching programming concepts without the crutch of computers tends to result in a deeper understanding of the concept. It is also a great way to find common ground…

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  • The Mindset for Innovation : Everything is an Experiment

    When most people think of innovation, they think of the execution phase. This is the phase where you’re actually building and executing your innovative idea. Very few people consider this developmental phase to be experimental; for many the innovation process begins with the idea and moves very quickly into the development phase, ending with a big product launch and millions…

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  • Identify Areas of Highest Leverage (airport scenario)

    There is a system thinking principle that states that small changes can produce big results, however, these changes are often the least obvious. These small, impactful changes are commonly referred to as the areas of highest leverage. Always look for opportunities to make a small change that will produce a big result. Win-win. Identify the Problem – Airport Security Chaos…

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  • Your Innovation Team : 5 Critical Roles

    Who’s on your team? All great ideas require an execution team; the individuals that will work together to take your idea from conception to reality. Identifying the people that are not only trained but compelled to “do the work” will ensure better solutions and ultimately better results in the areas that matter. In recruiting people to support your project, think…

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