Classical vs Machine

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There is a reason why statistical texts spill copious amounts of ink on data sampling and survey designs. Historically speaking, data was incredibly laborious to collect and to analyze with limited computational resources. This led to the development of mathematical modeling techniques that relied on small amounts of information. These models are simplistic and replete […]

What is a model?

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A model in the context of predictive modeling is simply some useful mathematical abstraction of reality. A model should be (a lot) less complex than the reality it is intended to represent. This might seem obvious, but with ever increasing computation at our finger tips we need to carefully assess the relative complexity of our […]

Quantum Computing

Posted Leave a commentPosted in Quantum Computing

Something exciting is happening in the world of computing. And the excitement couldn’t come soon enough for those grieving the demise of Moore’s Law. Gordon Moore, one of the founders of Intel, observed that the number of transistors in dense integrated circuit doubles every two years. For the last fifty years, advancements in computing have […]


Posted Leave a commentPosted in Principles

My goal in this ebook is to get you most of the way towards creating powerful predictive models in a very short span of time, regardless of your prior experience! Features that make this book valuable There are many great resources, in print or on-line, for learning about Predictive Modeling. The following ideas make this […]

Blueprinting & Prototyping

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The concepts that I am referring to as¬†blueprinting and¬†prototype are hardly deserving of such fancy titles. And what I am about to write hardly deserves it’s own post. Yet these incredibly simple, yet powerful, concepts deserve any coder’s attention. Blueprinting Before you write any code, spend some time describing a blueprint of what you want […]