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Statistical machines can do repetitive chores better than humans. There are several reasons for it, primarily the following:

• Unlike subject matter experts, a m/c has no biases, lets the data objectively guide its learning, - a learning that's deep, nested to many levels, equivalent to several checks with multiple thresholds.
• Machines employ statistical rigor to associate confidence levels with its predictions, somewhat like humans have gut feel about the occurrence of an event, only that machine's probabilistic feel is more sophisticated and accurate.

So now you want to build statistical model to predict your world accurately. There's a catch though: it's not easy - requires considerable data science knowledge, is confusing for a non-practitioner, and takes considerable effort to get it done right.

What to do? Simple - use Datanomers' Machine Learning as a Service platform. It automatically builds your model, explaining you every step of the way its decision. You can use the model to predict your world - accurately. Even better, you trust the machine because you understand the model.