Alice in Wonderland Coloring Book by Carroll

By Carroll

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It’s a way to get recruited and a way to see research applied. Modern IT tools have lent themselves to a hack mentality. In companies, hack-a-thons and skunk work developments seem almost to mock the inertia of the installed IT architecture. Some of this sentiment exists in machine learning. Google’s TensorFlow and AWS’s machine learning as well as host of open source machine learning libraries may give the impression that this is simply an easy add-on for a software engineer to master. Even better, it’s free.

AI 34 across multiple variables based on techniques like regression. We also know that we can build a learning algorithm that can automatically update the regression analysis in response to new data. But what about if we want to find an equation to represent much more complex relationships, particularly those relationships where time is a factor? Time series data, where data is represented in time order, can be difficult to model. Delay effects, overlapping time series data, irregular intervals between variables, and competing effects are all hard to unpick with linear modeling.

Rather like cyclists who can draft together drop those who can’t, machine learning creates an advantage that will make it hard to keep up if you don’t have it. Some tips for success… #1 KNOW WHAT PROBLEM YOU ARE TRYING TO SOLVE It sounds obvious but it’s surprising how often people will breeze through this step, assuming that the problem is well defined or that everyone agrees. All the upcoming complexity and key decisions – what data, what scale, how accurate you need the prediction – will hinge on the clarity of the problem.

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